ASUS System Product Name
Geekbench ML Score
4489
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 07:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 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 | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1645
307.9 IPS |
|
|
Image Classification (F16)
|
100% |
1639
306.7 IPS |
|
|
Image Classification (I8)
|
99% |
4228
791.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2408
40.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2206
36.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2553
42.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14316
17.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
14275
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
41195
49.9 IPS |
|
|
Object Detection (F32)
|
100% |
1957
146.1 IPS |
|
|
Object Detection (F16)
|
100% |
1958
146.2 IPS |
|
|
Object Detection (I8)
|
62% |
1982
147.9 IPS |
|
|
Face Detection (F32)
|
100% |
3362
40.0 IPS |
|
|
Face Detection (F16)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (I8)
|
89% |
6061
72.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
9965
77.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9966
77.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
22062
171.1 IPS |
|
|
Style Transfer (F32)
|
100% |
28194
37.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28461
37.4 IPS |
|
|
Style Transfer (I8)
|
98% |
35422
46.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3058
109.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2937
104.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4196
149.9 IPS |
|
|
Text Classification (F32)
|
100% |
1430
2.06 KIPS |
|
|
Text Classification (F16)
|
100% |
1395
2.01 KIPS |
|
|
Text Classification (I8)
|
98% |
361
518.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2899
53.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2997
55.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3272
60.2 IPS |
