ASUS System Product Name
Geekbench ML Score
6939
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 30 2024 09:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| 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% |
2756
515.8 IPS |
|
|
Image Classification (F16)
|
100% |
2758
516.1 IPS |
|
|
Image Classification (I8)
|
99% |
6685
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2484
41.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2471
41.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3794
63.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
28770
34.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
29364
35.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
78691
95.3 IPS |
|
|
Object Detection (F32)
|
100% |
2886
215.5 IPS |
|
|
Object Detection (F16)
|
100% |
2849
212.7 IPS |
|
|
Object Detection (I8)
|
62% |
3163
236.2 IPS |
|
|
Face Detection (F32)
|
100% |
4894
58.2 IPS |
|
|
Face Detection (F16)
|
100% |
4894
58.2 IPS |
|
|
Face Detection (I8)
|
89% |
6937
82.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
13210
102.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
13333
103.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
30784
238.7 IPS |
|
|
Style Transfer (F32)
|
100% |
49710
65.4 IPS |
|
|
Style Transfer (F16)
|
100% |
49513
65.1 IPS |
|
|
Style Transfer (I8)
|
98% |
48668
64.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6350
226.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6277
224.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8071
288.2 IPS |
|
|
Text Classification (F32)
|
100% |
2422
3.48 KIPS |
|
|
Text Classification (F16)
|
100% |
2509
3.61 KIPS |
|
|
Text Classification (I8)
|
98% |
545
783.6 IPS |
|
|
Machine Translation (F32)
|
100% |
4079
75.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4066
74.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4449
81.9 IPS |
