Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
19274
Single Precision Score
26171
Half Precision Score
12351
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | July 09 2025 03:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSD |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7385
1.37 KIPS |
|
|
Image Classification (HP)
|
99% |
9040
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
5050
939.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11033
178.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13542
219.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8651
140.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
162353
189.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
310728
362.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
123132
144.2 IPS |
|
|
Object Detection (SP)
|
100% |
9485
752.4 IPS |
|
|
Object Detection (HP)
|
100% |
11796
935.6 IPS |
|
|
Object Detection (Q)
|
89% |
6436
515.2 IPS |
|
|
Face Detection (SP)
|
100% |
22317
265.2 IPS |
|
|
Face Detection (HP)
|
100% |
28049
333.3 IPS |
|
|
Face Detection (Q)
|
97% |
15478
184.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
54490
419.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
85929
662.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
33309
268.5 IPS |
|
|
Style Transfer (SP)
|
100% |
244363
314.1 IPS |
|
|
Style Transfer (HP)
|
100% |
499566
642.2 IPS |
|
|
Style Transfer (Q)
|
98% |
179253
231.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31767
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41426
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19323
715.5 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2578
3.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1246
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2822
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2613
45.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1073
23.9 IPS |
