TOPC AX7 ITX
Geekbench ML Score
5177
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 12:35 PM |
| Views | 8 |
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 | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2798
523.7 IPS |
|
|
Image Classification (F16)
|
100% |
2723
509.5 IPS |
|
|
Image Classification (I8)
|
100% |
2369
443.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2647
44.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2697
45.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2263
37.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
36476
44.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
36741
44.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
27330
33.1 IPS |
|
|
Object Detection (F32)
|
100% |
1807
134.9 IPS |
|
|
Object Detection (F16)
|
100% |
1812
135.3 IPS |
|
|
Object Detection (I8)
|
62% |
1642
122.6 IPS |
|
|
Face Detection (F32)
|
100% |
5050
60.0 IPS |
|
|
Face Detection (F16)
|
100% |
5051
60.1 IPS |
|
|
Face Detection (I8)
|
89% |
3808
45.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15187
117.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
15270
118.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
12699
98.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29843
39.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30160
39.7 IPS |
|
|
Style Transfer (I8)
|
98% |
25616
33.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6001
214.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6037
215.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4241
151.4 IPS |
|
|
Text Classification (F32)
|
100% |
1753
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1706
2.45 KIPS |
|
|
Text Classification (I8)
|
98% |
1470
2.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
2521
46.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2498
46.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1647
30.3 IPS |
