Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
19992
Single Precision Score
27521
Half Precision Score
15878
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | March 23 2025 08:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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% |
7471
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
10310
1.92 KIPS |
|
|
Image Classification (Q)
|
100% |
6652
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11856
192.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13406
217.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11100
180.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
142846
166.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
302331
352.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
127724
149.6 IPS |
|
|
Object Detection (SP)
|
100% |
9635
764.3 IPS |
|
|
Object Detection (HP)
|
100% |
12711
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
7994
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
21740
258.3 IPS |
|
|
Face Detection (HP)
|
100% |
29273
347.8 IPS |
|
|
Face Detection (Q)
|
97% |
18905
225.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
56693
436.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86972
670.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
44711
359.7 IPS |
|
|
Style Transfer (SP)
|
100% |
238728
306.9 IPS |
|
|
Style Transfer (HP)
|
100% |
470766
605.2 IPS |
|
|
Style Transfer (Q)
|
98% |
217582
280.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36159
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43589
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27795
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3068
4.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1758
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1504
33.5 IPS |
