GPD Pocket 4@28W GPD G1628-04
Geekbench AI Score
3643
Single Precision Score
1487
Half Precision Score
6645
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | September 16 2025 01:22 AM |
| Views | 4 |
| Notes | GPD G1628-04 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GPD G1628-04 |
| Motherboard | GPD G1628-04 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2799
520.5 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.2 IPS |
|
|
Image Classification (Q)
|
99% |
6265
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2789
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6935
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5378
6.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
24130
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2882
228.6 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
86% |
7133
573.3 IPS |
|
|
Face Detection (SP)
|
100% |
5887
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
9977
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2392
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14947
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15880
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13739
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29131
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3603
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
1469
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
661
882.9 IPS |
|
|
Text Classification (Q)
|
97% |
1510
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2365
47.5 IPS |
