ASUS System Product Name
Geekbench ML Score
5287
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Arian_amg |
| Upload Date | August 15 2024 05:19 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 B650E-F GAMING WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 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 | 32.0 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% |
3020
565.1 IPS |
|
|
Image Classification (F16)
|
100% |
2994
560.2 IPS |
|
|
Image Classification (I8)
|
99% |
6132
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2465
41.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2428
40.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3015
50.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9064
11.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
9099
11.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
30630
37.1 IPS |
|
|
Object Detection (F32)
|
100% |
2680
200.1 IPS |
|
|
Object Detection (F16)
|
100% |
2679
200.0 IPS |
|
|
Object Detection (I8)
|
62% |
2828
211.1 IPS |
|
|
Face Detection (F32)
|
100% |
5415
64.4 IPS |
|
|
Face Detection (F16)
|
100% |
5338
63.5 IPS |
|
|
Face Detection (I8)
|
89% |
6961
82.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10646
82.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10547
81.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
20996
162.8 IPS |
|
|
Style Transfer (F32)
|
100% |
22708
29.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22725
29.9 IPS |
|
|
Style Transfer (I8)
|
98% |
34510
45.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4439
158.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4405
157.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5472
195.4 IPS |
|
|
Text Classification (F32)
|
100% |
2362
3.39 KIPS |
|
|
Text Classification (F16)
|
100% |
2357
3.39 KIPS |
|
|
Text Classification (I8)
|
98% |
444
638.7 IPS |
|
|
Machine Translation (F32)
|
100% |
3216
59.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3228
59.4 IPS |
|
|
Machine Translation (I8)
|
67% |
4176
76.9 IPS |
