ASUS System Product Name
Geekbench ML Score
5435
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.35 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2020
378.0 IPS |
|
|
Image Classification (F16)
|
100% |
2004
375.0 IPS |
|
|
Image Classification (I8)
|
99% |
4925
921.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2702
45.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2697
45.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3592
60.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16804
20.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
16834
20.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
46458
56.3 IPS |
|
|
Object Detection (F32)
|
100% |
2276
169.9 IPS |
|
|
Object Detection (F16)
|
100% |
2305
172.1 IPS |
|
|
Object Detection (I8)
|
62% |
2291
171.0 IPS |
|
|
Face Detection (F32)
|
100% |
4529
53.8 IPS |
|
|
Face Detection (F16)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (I8)
|
89% |
6303
74.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
11239
87.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11450
88.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
23901
185.4 IPS |
|
|
Style Transfer (F32)
|
100% |
32750
43.1 IPS |
|
|
Style Transfer (F16)
|
100% |
32792
43.1 IPS |
|
|
Style Transfer (I8)
|
98% |
45971
60.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4466
159.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4458
159.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5616
200.6 IPS |
|
|
Text Classification (F32)
|
100% |
1685
2.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1706
2.45 KIPS |
|
|
Text Classification (I8)
|
98% |
440
632.1 IPS |
|
|
Machine Translation (F32)
|
100% |
3461
63.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3459
63.7 IPS |
|
|
Machine Translation (I8)
|
67% |
4176
76.8 IPS |
