Shenzhen suqiao computer technology co., ltd miniPC
Geekbench AI Score
4012
Single Precision Score
1662
Half Precision Score
8679
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 19 2025 08:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001323-50_Y |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Shenzhen suqiao computer technology co., ltd miniPC |
| Motherboard | Shenzhen suqiao computer technology co., ltd miniPC |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001323-50_Y |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
99% |
8276
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10335
168.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4513
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3903
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
23890
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
3504
277.9 IPS |
|
|
Object Detection (HP)
|
100% |
719
57.1 IPS |
|
|
Object Detection (Q)
|
86% |
8790
706.4 IPS |
|
|
Face Detection (SP)
|
100% |
6939
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
11277
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10127
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1975
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8422
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18284
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10278
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29971
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2964
109.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7146
264.6 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1763
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3766
75.7 IPS |
