ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507VV_FX507VV
Geekbench ML Score
2036
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | CrashedCyborg99 |
| Upload Date | August 17 2024 01:36 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 | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
995
186.1 IPS |
|
|
Image Classification (F16)
|
100% |
996
186.4 IPS |
|
|
Image Classification (I8)
|
100% |
797
149.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1481
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1440
24.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1116
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8236
9.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
8247
9.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
4857
5.88 IPS |
|
|
Object Detection (F32)
|
100% |
1053
78.6 IPS |
|
|
Object Detection (F16)
|
100% |
1054
78.7 IPS |
|
|
Object Detection (I8)
|
54% |
883
65.9 IPS |
|
|
Face Detection (F32)
|
100% |
2095
24.9 IPS |
|
|
Face Detection (F16)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (I8)
|
89% |
1414
16.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4667
36.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4665
36.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3428
26.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18295
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
17152
22.6 IPS |
|
|
Style Transfer (I8)
|
98% |
12552
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2792
99.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2776
99.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1328
47.4 IPS |
|
|
Text Classification (F32)
|
100% |
873
1.26 KIPS |
|
|
Text Classification (F16)
|
100% |
933
1.34 KIPS |
|
|
Text Classification (I8)
|
98% |
473
679.9 IPS |
|
|
Machine Translation (F32)
|
100% |
915
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
915
16.8 IPS |
|
|
Machine Translation (I8)
|
70% |
503
9.25 IPS |
