Micro Computer (HK) Tech Limited Venus Series
Geekbench AI Score
2158
Single Precision Score
651
Half Precision Score
3846
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | oleker |
| Upload Date | August 19 2024 04:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1468
273.0 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (Q)
|
97% |
2946
549.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
2763
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3310
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
13604
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
88% |
1577
126.4 IPS |
|
|
Face Detection (SP)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (Q)
|
97% |
4529
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3885
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
873
6.73 IPS |
|
|
Depth Estimation (Q)
|
76% |
6836
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7885
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5672
7.29 IPS |
|
|
Style Transfer (Q)
|
98% |
15526
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3339
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
493
658.4 IPS |
|
|
Text Classification (Q)
|
97% |
1352
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
60% |
1869
41.7 IPS |
