ASUS System Product Name
Geekbench ML Score
5264
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2024 08:20 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 Z790 DARK HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 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% |
2745
513.6 IPS |
|
|
Image Classification (F16)
|
100% |
2743
513.3 IPS |
|
|
Image Classification (I8)
|
99% |
4677
875.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2214
37.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2228
37.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3636
60.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10443
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10529
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
34068
41.3 IPS |
|
|
Object Detection (F32)
|
100% |
2722
203.2 IPS |
|
|
Object Detection (F16)
|
100% |
2551
190.4 IPS |
|
|
Object Detection (I8)
|
62% |
2411
180.0 IPS |
|
|
Face Detection (F32)
|
100% |
5303
63.0 IPS |
|
|
Face Detection (F16)
|
100% |
5202
61.9 IPS |
|
|
Face Detection (I8)
|
89% |
5673
67.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10553
81.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10999
85.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
18670
144.8 IPS |
|
|
Style Transfer (F32)
|
100% |
24477
32.2 IPS |
|
|
Style Transfer (F16)
|
100% |
24271
31.9 IPS |
|
|
Style Transfer (I8)
|
98% |
29632
39.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4640
165.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4732
169.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6099
217.8 IPS |
|
|
Text Classification (F32)
|
100% |
1859
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1849
2.66 KIPS |
|
|
Text Classification (I8)
|
98% |
1419
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
2725
50.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2667
49.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3889
71.6 IPS |
