Micro Computer(HK) Tech Limited Venus series
Geekbench AI Score
2642
Single Precision Score
652
Half Precision Score
3454
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | November 24 2024 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900HK |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro Computer(HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd AHBNB |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1475
274.3 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
3052
569.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
2209
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5028
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2733
3.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
16201
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
88% |
1722
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.31 IPS |
|
|
Face Detection (Q)
|
97% |
3508
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5354
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
815
6.28 IPS |
|
|
Depth Estimation (Q)
|
76% |
6979
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11853
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6904
8.87 IPS |
|
|
Style Transfer (Q)
|
98% |
16372
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
578
772.1 IPS |
|
|
Text Classification (Q)
|
97% |
483
646.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (Q)
|
60% |
1828
40.8 IPS |
