Micro Computer (HK) Tech Limited V3
Geekbench ML Score
4644
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 06:25 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited V3 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPPAC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 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% |
2469
462.0 IPS |
|
|
Image Classification (F16)
|
100% |
2516
470.8 IPS |
|
|
Image Classification (I8)
|
100% |
2160
404.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2603
43.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2663
44.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2276
38.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
28814
34.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
26596
32.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
21651
26.2 IPS |
|
|
Object Detection (F32)
|
100% |
1615
120.6 IPS |
|
|
Object Detection (F16)
|
100% |
1631
121.7 IPS |
|
|
Object Detection (I8)
|
62% |
1594
119.0 IPS |
|
|
Face Detection (F32)
|
100% |
5107
60.7 IPS |
|
|
Face Detection (F16)
|
100% |
4927
58.6 IPS |
|
|
Face Detection (I8)
|
89% |
3713
44.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
14015
108.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13998
108.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
11145
86.4 IPS |
|
|
Style Transfer (F32)
|
100% |
30362
39.9 IPS |
|
|
Style Transfer (F16)
|
100% |
29448
38.7 IPS |
|
|
Style Transfer (I8)
|
98% |
26214
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4815
172.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5172
184.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3895
139.1 IPS |
|
|
Text Classification (F32)
|
100% |
1392
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1361
1.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1181
1.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
2155
39.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2171
39.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1420
26.1 IPS |
