Micro Computer (HK) Tech Limited Venus Series
Geekbench AI Score
2603
Single Precision Score
1142
Half Precision Score
3360
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gundamf90 |
| Upload Date | September 21 2024 08:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| 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% |
1667
310.1 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
99% |
3185
594.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2139
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5007
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2904
3.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
16304
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (Q)
|
88% |
1539
123.4 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
3820
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5216
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1537
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7114
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10476
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7086
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
13790
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1518
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2929
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
586
781.7 IPS |
|
|
Text Classification (Q)
|
97% |
501
670.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1953
43.6 IPS |
