ASUS System Product Name
Geekbench ML Score
5017
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 09:47 PM |
| Views | 1 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 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% |
1924
360.0 IPS |
|
|
Image Classification (F16)
|
100% |
1914
358.3 IPS |
|
|
Image Classification (I8)
|
99% |
4740
887.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2531
42.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2517
42.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3371
56.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14956
18.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
14046
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
43773
53.0 IPS |
|
|
Object Detection (F32)
|
100% |
2190
163.5 IPS |
|
|
Object Detection (F16)
|
100% |
1985
148.2 IPS |
|
|
Object Detection (I8)
|
62% |
2183
163.0 IPS |
|
|
Face Detection (F32)
|
100% |
4498
53.5 IPS |
|
|
Face Detection (F16)
|
100% |
4475
53.2 IPS |
|
|
Face Detection (I8)
|
89% |
6149
73.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10926
84.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10896
84.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
22461
174.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27170
35.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28811
37.9 IPS |
|
|
Style Transfer (I8)
|
98% |
43364
57.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3460
123.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3767
134.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4922
175.8 IPS |
|
|
Text Classification (F32)
|
100% |
1635
2.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1345
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
449
645.9 IPS |
|
|
Machine Translation (F32)
|
100% |
3354
61.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3310
60.9 IPS |
|
|
Machine Translation (I8)
|
67% |
4004
73.7 IPS |
