ASUS System Product Name
Geekbench ML Score
6147
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 18 2024 11:07 AM |
| 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 Z890 HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 30.0 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% |
3110
582.0 IPS |
|
|
Image Classification (F16)
|
100% |
3100
580.1 IPS |
|
|
Image Classification (I8)
|
99% |
5317
994.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2381
39.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2349
39.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3778
63.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14382
17.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
14368
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
47867
58.0 IPS |
|
|
Object Detection (F32)
|
100% |
2771
206.8 IPS |
|
|
Object Detection (F16)
|
100% |
3051
227.8 IPS |
|
|
Object Detection (I8)
|
62% |
2867
214.0 IPS |
|
|
Face Detection (F32)
|
100% |
5911
70.3 IPS |
|
|
Face Detection (F16)
|
100% |
5912
70.3 IPS |
|
|
Face Detection (I8)
|
89% |
6078
72.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
13378
103.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13970
108.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
22646
175.6 IPS |
|
|
Style Transfer (F32)
|
100% |
32943
43.3 IPS |
|
|
Style Transfer (F16)
|
100% |
31894
42.0 IPS |
|
|
Style Transfer (I8)
|
98% |
30590
40.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5927
211.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5832
208.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7363
263.0 IPS |
|
|
Text Classification (F32)
|
100% |
1949
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
1928
2.77 KIPS |
|
|
Text Classification (I8)
|
98% |
1516
2.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
3035
55.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3051
56.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4548
83.7 IPS |
