Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
16354
Single Precision Score
22550
Half Precision Score
10918
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | August 17 2024 12:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
6652
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
8488
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
4731
879.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7844
127.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8710
141.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6603
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
123243
143.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
299534
349.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
98367
115.2 IPS |
|
|
Object Detection (SP)
|
100% |
7657
607.4 IPS |
|
|
Object Detection (HP)
|
100% |
9682
768.0 IPS |
|
|
Object Detection (Q)
|
89% |
5792
463.7 IPS |
|
|
Face Detection (SP)
|
100% |
17356
206.2 IPS |
|
|
Face Detection (HP)
|
100% |
21442
254.8 IPS |
|
|
Face Detection (Q)
|
97% |
13245
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
48680
375.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78122
601.9 IPS |
|
|
Depth Estimation (Q)
|
69% |
29063
246.2 IPS |
|
|
Style Transfer (SP)
|
100% |
213691
274.7 IPS |
|
|
Style Transfer (HP)
|
100% |
427809
550.0 IPS |
|
|
Style Transfer (Q)
|
98% |
161802
208.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28963
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33491
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17560
650.2 IPS |
|
|
Text Classification (SP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
3154
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1341
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2103
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2095
36.1 IPS |
|
|
Machine Translation (Q)
|
60% |
922
20.6 IPS |
