Micro Computer (HK) Tech Limited Venus Series
Geekbench AI Score
2753
Single Precision Score
1122
Half Precision Score
4596
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hmarcel |
| Upload Date | May 28 2025 03:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| 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 AHWSA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
99% |
4495
838.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2302
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4530
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
14678
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2047
162.4 IPS |
|
|
Object Detection (HP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (Q)
|
86% |
4224
339.5 IPS |
|
|
Face Detection (SP)
|
100% |
5387
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
6468
77.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5884
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1518
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10185
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10654
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7445
9.57 IPS |
|
|
Style Transfer (Q)
|
98% |
12547
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2745
101.7 IPS |
|
|
Text Classification (SP)
|
100% |
1164
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
637
850.3 IPS |
|
|
Text Classification (Q)
|
97% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (Q)
|
65% |
2215
44.5 IPS |
