ASUS System Product Name
Geekbench ML Score
3916
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z690-PLUS D4 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 25.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2268
424.4 IPS |
|
|
Image Classification (F16)
|
100% |
2234
418.0 IPS |
|
|
Image Classification (I8)
|
99% |
3963
741.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1842
30.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1754
29.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2438
40.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7866
9.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
7800
9.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
24216
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
2008
149.9 IPS |
|
|
Object Detection (F16)
|
100% |
2099
156.7 IPS |
|
|
Object Detection (I8)
|
62% |
1874
139.9 IPS |
|
|
Face Detection (F32)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (F16)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (I8)
|
89% |
4105
48.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8166
63.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8194
63.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14307
111.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17784
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
17776
23.4 IPS |
|
|
Style Transfer (I8)
|
98% |
20001
26.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4038
144.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3843
137.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5405
193.0 IPS |
|
|
Text Classification (F32)
|
100% |
1524
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1551
2.23 KIPS |
|
|
Text Classification (I8)
|
98% |
520
747.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1980
36.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1984
36.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2741
50.4 IPS |
