Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
3655
Single Precision Score
1051
Half Precision Score
7776
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | tuldok89 |
| Upload Date | December 25 2024 06:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSC |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (Q)
|
97% |
8356
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2040
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
99% |
3317
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8080
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
6264
7.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
27851
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.4 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
86% |
7550
606.8 IPS |
|
|
Face Detection (SP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
529
6.29 IPS |
|
|
Face Detection (Q)
|
97% |
15198
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1162
8.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
15695
125.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19174
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16334
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26957
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4179
154.7 IPS |
|
|
Text Classification (SP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1840
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (Q)
|
65% |
2807
56.4 IPS |
