Micro Computer (HK) Tech Limited Venus Series
Geekbench AI Score
3146
Single Precision Score
3228
Half Precision Score
7752
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | oleker |
| Upload Date | August 19 2024 04:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900H |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Micro Computer (HK) Tech Limited Venus Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd AHWSA |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2002
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (Q)
|
100% |
4889
909.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4522
73.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3372
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3424
4.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
12806
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1865
148.0 IPS |
|
|
Object Detection (HP)
|
100% |
1875
148.7 IPS |
|
|
Object Detection (Q)
|
88% |
4745
380.4 IPS |
|
|
Face Detection (SP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
5715
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
11531
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4701
36.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
4935
38.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
12388
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10340
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10199
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36572
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7301
270.4 IPS |
|
|
Text Classification (SP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
3552
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2968
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2956
50.9 IPS |
|
|
Machine Translation (Q)
|
85% |
4306
75.3 IPS |
