Micro Computer (HK) Tech Limited Venus Series
Geekbench AI Score
3116
Single Precision Score
3139
Half Precision Score
1891
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gundamf90 |
| Upload Date | September 21 2024 08:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd AHWSA |
| 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% |
1184
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
1318
245.0 IPS |
|
|
Image Classification (Q)
|
99% |
948
176.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13354
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13453
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
6589
7.72 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.6 IPS |
|
|
Object Detection (HP)
|
98% |
1268
100.9 IPS |
|
|
Object Detection (Q)
|
89% |
1169
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (Q)
|
97% |
1909
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6343
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6823
52.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
4282
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27666
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33983
43.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17752
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1644
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
485
647.0 IPS |
|
|
Text Classification (Q)
|
97% |
516
690.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (Q)
|
60% |
442
9.87 IPS |
