Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
2367
Single Precision Score
1181
Half Precision Score
5171
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DaBushman |
| Upload Date | April 17 2025 11:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7640HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2223
413.4 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
99% |
5319
992.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2823
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2902
3.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
13435
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.0 IPS |
|
|
Object Detection (Q)
|
86% |
4975
399.8 IPS |
|
|
Face Detection (SP)
|
100% |
4204
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
8547
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4408
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1722
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6210
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8254
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7459
9.59 IPS |
|
|
Style Transfer (Q)
|
98% |
19493
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2821
104.5 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
637
849.8 IPS |
|
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2900
58.3 IPS |
