GPD Pocket 4@28W GPD G1628-04
Geekbench AI Score
6602
Single Precision Score
9692
Half Precision Score
5219
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | September 16 2025 01:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (Q)
|
100% |
1916
356.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3605
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3321
53.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3232
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39508
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
83359
97.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29110
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.6 IPS |
|
|
Object Detection (HP)
|
100% |
3203
254.1 IPS |
|
|
Object Detection (Q)
|
87% |
2132
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
12026
142.9 IPS |
|
|
Face Detection (Q)
|
97% |
5633
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18094
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26456
203.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14610
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
71314
91.7 IPS |
|
|
Style Transfer (HP)
|
100% |
128360
165.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40008
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8555
315.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18619
687.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6995
259.0 IPS |
|
|
Text Classification (SP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2963
51.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1315
24.7 IPS |
