ASUS System Product Name
Geekbench ML Score
4766
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 01:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1693
316.8 IPS |
|
|
Image Classification (F16)
|
100% |
2432
455.2 IPS |
|
|
Image Classification (I8)
|
99% |
5528
1.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2272
37.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2236
37.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2534
42.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7623
9.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
7734
9.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
27159
32.9 IPS |
|
|
Object Detection (F32)
|
100% |
2647
197.6 IPS |
|
|
Object Detection (F16)
|
100% |
2593
193.6 IPS |
|
|
Object Detection (I8)
|
62% |
2545
190.0 IPS |
|
|
Face Detection (F32)
|
100% |
6664
79.2 IPS |
|
|
Face Detection (F16)
|
100% |
6686
79.5 IPS |
|
|
Face Detection (I8)
|
89% |
7226
85.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9428
73.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9551
74.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
21713
168.4 IPS |
|
|
Style Transfer (F32)
|
100% |
19253
25.3 IPS |
|
|
Style Transfer (F16)
|
100% |
18625
24.5 IPS |
|
|
Style Transfer (I8)
|
98% |
30366
39.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3824
136.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3086
110.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5124
183.0 IPS |
|
|
Text Classification (F32)
|
100% |
2182
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
2125
3.05 KIPS |
|
|
Text Classification (I8)
|
98% |
381
548.0 IPS |
|
|
Machine Translation (F32)
|
100% |
3164
58.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3265
60.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3577
65.8 IPS |
