ASUS System Product Name
Geekbench ML Score
6050
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:00 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 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% |
2439
456.4 IPS |
|
|
Image Classification (F16)
|
100% |
2410
451.0 IPS |
|
|
Image Classification (I8)
|
99% |
6256
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2319
38.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2265
37.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3504
58.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
26723
32.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
26794
32.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
69099
83.7 IPS |
|
|
Object Detection (F32)
|
100% |
2563
191.4 IPS |
|
|
Object Detection (F16)
|
100% |
2309
172.4 IPS |
|
|
Object Detection (I8)
|
62% |
2769
206.7 IPS |
|
|
Face Detection (F32)
|
100% |
4110
48.9 IPS |
|
|
Face Detection (F16)
|
100% |
4264
50.7 IPS |
|
|
Face Detection (I8)
|
89% |
6358
75.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12063
93.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11808
91.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
27375
212.3 IPS |
|
|
Style Transfer (F32)
|
100% |
37136
48.8 IPS |
|
|
Style Transfer (F16)
|
100% |
32786
43.1 IPS |
|
|
Style Transfer (I8)
|
98% |
40607
53.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4855
173.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4899
174.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7114
254.0 IPS |
|
|
Text Classification (F32)
|
100% |
2170
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
2191
3.15 KIPS |
|
|
Text Classification (I8)
|
98% |
533
766.0 IPS |
|
|
Machine Translation (F32)
|
100% |
3703
68.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3718
68.4 IPS |
|
|
Machine Translation (I8)
|
67% |
4091
75.3 IPS |
