ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LHB_FX506LHB
Geekbench ML Score
1585
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 11:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LHB_FX506LHB |
| Motherboard | ASUSTeK COMPUTER INC. FX506LHB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 8.00 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% |
886
165.7 IPS |
|
|
Image Classification (F16)
|
100% |
817
152.9 IPS |
|
|
Image Classification (I8)
|
97% |
1171
219.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
750
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
709
11.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1046
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2696
3.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
2759
3.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
4717
5.71 IPS |
|
|
Object Detection (F32)
|
100% |
934
69.7 IPS |
|
|
Object Detection (F16)
|
100% |
931
69.5 IPS |
|
|
Object Detection (I8)
|
60% |
936
69.8 IPS |
|
|
Face Detection (F32)
|
100% |
1409
16.8 IPS |
|
|
Face Detection (F16)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (I8)
|
87% |
2136
25.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2691
20.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2668
20.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
4713
36.5 IPS |
|
|
Style Transfer (F32)
|
100% |
6440
8.47 IPS |
|
|
Style Transfer (F16)
|
100% |
6070
7.99 IPS |
|
|
Style Transfer (I8)
|
85% |
7807
10.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1336
47.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1427
51.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1795
64.1 IPS |
|
|
Text Classification (F32)
|
100% |
910
1.31 KIPS |
|
|
Text Classification (F16)
|
100% |
895
1.29 KIPS |
|
|
Text Classification (I8)
|
94% |
290
417.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1253
23.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1363
25.1 IPS |
