Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
5389
Single Precision Score
5216
Half Precision Score
15360
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | September 13 2024 04:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| 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% |
3948
734.2 IPS |
|
|
Image Classification (HP)
|
100% |
3975
739.3 IPS |
|
|
Image Classification (Q)
|
100% |
10182
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8680
140.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7600
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
7283
8.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
31237
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
2946
233.6 IPS |
|
|
Object Detection (HP)
|
100% |
2778
220.3 IPS |
|
|
Object Detection (Q)
|
88% |
10397
833.5 IPS |
|
|
Face Detection (SP)
|
100% |
6561
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
6669
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
23975
284.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9355
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8214
63.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
27113
211.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20572
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20403
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80327
103.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15849
587.0 IPS |
|
|
Text Classification (SP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
92% |
5513
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5010
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5585
96.2 IPS |
