ASUS System Product Name
Geekbench ML Score
5377
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 29 2024 05:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | High performance |
| 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 | 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% |
1917
358.6 IPS |
|
|
Image Classification (F16)
|
100% |
1849
345.9 IPS |
|
|
Image Classification (I8)
|
99% |
4573
855.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2598
43.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2559
42.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3768
62.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
15167
18.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
15178
18.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
44643
54.1 IPS |
|
|
Object Detection (F32)
|
100% |
2189
163.4 IPS |
|
|
Object Detection (F16)
|
100% |
2186
163.2 IPS |
|
|
Object Detection (I8)
|
62% |
2196
163.9 IPS |
|
|
Face Detection (F32)
|
100% |
4534
53.9 IPS |
|
|
Face Detection (F16)
|
100% |
4531
53.9 IPS |
|
|
Face Detection (I8)
|
89% |
7076
84.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
11388
88.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11532
89.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
23044
178.7 IPS |
|
|
Style Transfer (F32)
|
100% |
31203
41.0 IPS |
|
|
Style Transfer (F16)
|
100% |
31183
41.0 IPS |
|
|
Style Transfer (I8)
|
98% |
45051
59.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3936
140.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3878
138.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5140
183.6 IPS |
|
|
Text Classification (F32)
|
100% |
1547
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1163
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
3235
59.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3232
59.5 IPS |
|
|
Machine Translation (I8)
|
67% |
4370
80.4 IPS |
