ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507VV_FX507VV
Geekbench ML Score
11788
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | CrashedCyborg99 |
| Upload Date | August 17 2024 01:31 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507VV_FX507VV |
| Motherboard | ASUSTeK COMPUTER INC. FX507VV |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5551
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5746
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
5061
947.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
7217
120.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7124
119.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
6660
111.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
74852
90.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
74972
90.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
67308
81.5 IPS |
|
|
Object Detection (F32)
|
100% |
4838
361.2 IPS |
|
|
Object Detection (F16)
|
100% |
4745
354.3 IPS |
|
|
Object Detection (I8)
|
61% |
4506
336.4 IPS |
|
|
Face Detection (F32)
|
100% |
14740
175.3 IPS |
|
|
Face Detection (F16)
|
100% |
15302
181.9 IPS |
|
|
Face Detection (I8)
|
89% |
12823
152.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
28441
220.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
32442
251.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
27832
215.8 IPS |
|
|
Style Transfer (F32)
|
100% |
121898
160.3 IPS |
|
|
Style Transfer (F16)
|
100% |
115539
152.0 IPS |
|
|
Style Transfer (I8)
|
98% |
103564
136.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22421
800.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22363
798.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16773
599.0 IPS |
|
|
Text Classification (F32)
|
100% |
1894
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (I8)
|
98% |
1326
1.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
2831
52.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2790
51.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1683
31.0 IPS |
