TOPC AX7 ITX
Geekbench ML Score
3697
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 12:33 PM |
| Views | 21 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | TOPC AX7 ITX |
| Motherboard | TOPC AX7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| 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 | 16.0 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% |
2110
394.9 IPS |
|
|
Image Classification (F16)
|
100% |
1989
372.3 IPS |
|
|
Image Classification (I8)
|
99% |
5116
957.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2509
41.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7993
9.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
7959
9.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
26896
32.6 IPS |
|
|
Object Detection (F32)
|
100% |
1691
126.3 IPS |
|
|
Object Detection (F16)
|
100% |
2144
160.0 IPS |
|
|
Object Detection (I8)
|
62% |
2169
161.9 IPS |
|
|
Face Detection (F32)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (F16)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (I8)
|
89% |
4785
56.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6078
47.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8918
69.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
17592
136.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16393
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
14967
19.7 IPS |
|
|
Style Transfer (I8)
|
98% |
22155
29.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2740
97.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2984
106.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3815
136.3 IPS |
|
|
Text Classification (F32)
|
100% |
2110
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1553
2.23 KIPS |
|
|
Text Classification (I8)
|
98% |
449
644.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2311
42.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2371
43.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2870
52.8 IPS |
