ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507VV_FX507VV
Geekbench ML Score
3334
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | CrashedCyborg99 |
| Upload Date | August 17 2024 01:32 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1878
351.4 IPS |
|
|
Image Classification (F16)
|
100% |
1874
350.7 IPS |
|
|
Image Classification (I8)
|
99% |
3539
662.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1619
27.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1568
26.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2417
40.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5613
6.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
5773
6.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
18992
23.0 IPS |
|
|
Object Detection (F32)
|
100% |
1788
133.5 IPS |
|
|
Object Detection (F16)
|
100% |
1738
129.8 IPS |
|
|
Object Detection (I8)
|
62% |
1805
134.7 IPS |
|
|
Face Detection (F32)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (F16)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (I8)
|
89% |
3639
43.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6474
50.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6194
48.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
12791
99.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13772
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13383
17.6 IPS |
|
|
Style Transfer (I8)
|
98% |
16072
21.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2947
105.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2966
105.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4908
175.3 IPS |
|
|
Text Classification (F32)
|
100% |
1535
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1552
2.23 KIPS |
|
|
Text Classification (I8)
|
98% |
476
684.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1828
33.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1876
34.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2706
49.8 IPS |
