ASUS System Product Name
Geekbench ML Score
4931
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2024 06:11 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 CROSSHAIR X670E HERO |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1838
344.0 IPS |
|
|
Image Classification (F16)
|
100% |
1840
344.2 IPS |
|
|
Image Classification (I8)
|
99% |
4700
879.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2489
41.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2420
40.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3423
57.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
15676
19.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16040
19.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
44247
53.6 IPS |
|
|
Object Detection (F32)
|
100% |
2052
153.2 IPS |
|
|
Object Detection (F16)
|
100% |
2163
161.5 IPS |
|
|
Object Detection (I8)
|
62% |
2112
157.7 IPS |
|
|
Face Detection (F32)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (F16)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (I8)
|
89% |
5573
66.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10099
78.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9931
77.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
21079
163.5 IPS |
|
|
Style Transfer (F32)
|
100% |
27257
35.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26543
34.9 IPS |
|
|
Style Transfer (I8)
|
98% |
38027
50.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4123
147.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4098
146.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4871
174.0 IPS |
|
|
Text Classification (F32)
|
100% |
1612
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1670
2.40 KIPS |
|
|
Text Classification (I8)
|
98% |
416
598.0 IPS |
|
|
Machine Translation (F32)
|
100% |
3173
58.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3202
58.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3869
71.2 IPS |
