Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
16292
Single Precision Score
22521
Half Precision Score
10906
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | November 08 2024 09:27 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% |
6577
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
8317
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
4711
876.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7891
127.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9104
147.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6684
108.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
122571
143.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
301912
352.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
97008
113.6 IPS |
|
|
Object Detection (SP)
|
100% |
7585
601.6 IPS |
|
|
Object Detection (HP)
|
100% |
9472
751.3 IPS |
|
|
Object Detection (Q)
|
89% |
5439
435.4 IPS |
|
|
Face Detection (SP)
|
100% |
17770
211.2 IPS |
|
|
Face Detection (HP)
|
100% |
21761
258.6 IPS |
|
|
Face Detection (Q)
|
97% |
13349
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
48595
374.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
77804
599.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
30545
246.2 IPS |
|
|
Style Transfer (SP)
|
100% |
214673
276.0 IPS |
|
|
Style Transfer (HP)
|
100% |
424411
545.6 IPS |
|
|
Style Transfer (Q)
|
98% |
163873
211.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28604
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33567
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17492
647.7 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3001
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1291
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (Q)
|
60% |
950
21.2 IPS |
