ASUS System Product Name
Geekbench ML Score
4513
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 DARK HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2313
432.9 IPS |
|
|
Image Classification (F16)
|
100% |
2307
431.7 IPS |
|
|
Image Classification (I8)
|
99% |
4120
770.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2020
33.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1993
33.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3575
59.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8109
9.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
8176
9.90 IPS |
|
|
Pose Estimation (I8)
|
100% |
25074
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2302
171.9 IPS |
|
|
Object Detection (F16)
|
100% |
2281
170.3 IPS |
|
|
Object Detection (I8)
|
62% |
2182
162.9 IPS |
|
|
Face Detection (F32)
|
100% |
4532
53.9 IPS |
|
|
Face Detection (F16)
|
100% |
4403
52.4 IPS |
|
|
Face Detection (I8)
|
89% |
5120
60.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8579
66.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8228
63.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
16039
124.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18949
24.9 IPS |
|
|
Style Transfer (F16)
|
100% |
18962
24.9 IPS |
|
|
Style Transfer (I8)
|
98% |
25844
34.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3628
129.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3736
133.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5740
205.0 IPS |
|
|
Text Classification (F32)
|
100% |
1705
2.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1783
2.56 KIPS |
|
|
Text Classification (I8)
|
98% |
1403
2.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
2362
43.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2461
45.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3452
63.5 IPS |
