ASUS System Product Name
Geekbench ML Score
5267
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Arian_amg |
| Upload Date | August 15 2024 05:22 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% |
3008
562.9 IPS |
|
|
Image Classification (F16)
|
100% |
3008
563.0 IPS |
|
|
Image Classification (I8)
|
99% |
6126
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2428
40.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2410
40.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3046
50.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9090
11.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
9103
11.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
30537
37.0 IPS |
|
|
Object Detection (F32)
|
100% |
2632
196.5 IPS |
|
|
Object Detection (F16)
|
100% |
2644
197.4 IPS |
|
|
Object Detection (I8)
|
62% |
2823
210.8 IPS |
|
|
Face Detection (F32)
|
100% |
5468
65.0 IPS |
|
|
Face Detection (F16)
|
100% |
5434
64.6 IPS |
|
|
Face Detection (I8)
|
89% |
6842
81.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
10492
81.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10568
82.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
21052
163.3 IPS |
|
|
Style Transfer (F32)
|
100% |
22710
29.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22660
29.8 IPS |
|
|
Style Transfer (I8)
|
98% |
34241
45.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4380
156.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4411
157.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5513
196.9 IPS |
|
|
Text Classification (F32)
|
100% |
2360
3.39 KIPS |
|
|
Text Classification (F16)
|
100% |
2342
3.37 KIPS |
|
|
Text Classification (I8)
|
98% |
444
638.1 IPS |
|
|
Machine Translation (F32)
|
100% |
3188
58.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3159
58.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4113
75.7 IPS |
