Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
5099
Single Precision Score
5097
Half Precision Score
14684
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | August 16 2024 12:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS 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 F7BSC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3488
648.6 IPS |
|
|
Image Classification (HP)
|
100% |
3532
656.8 IPS |
|
|
Image Classification (Q)
|
100% |
9513
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8292
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6693
7.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
26631
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3107
246.4 IPS |
|
|
Object Detection (HP)
|
100% |
3099
245.8 IPS |
|
|
Object Detection (Q)
|
88% |
9827
787.8 IPS |
|
|
Face Detection (SP)
|
100% |
7499
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
7588
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
23818
283.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8607
66.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
8704
67.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
24796
196.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18105
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18475
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
69208
89.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4158
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13882
514.1 IPS |
|
|
Text Classification (SP)
|
100% |
3738
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3779
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
5397
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4945
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (Q)
|
85% |
7376
128.9 IPS |
