GPD Pocket 4@28W GPD G1628-04
Geekbench AI Score
5152
Single Precision Score
5225
Half Precision Score
13702
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | September 16 2025 01:24 AM |
| Views | 4 |
| Notes | GPD G1628-04 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2997
557.3 IPS |
|
|
Image Classification (HP)
|
100% |
3051
567.4 IPS |
|
|
Image Classification (Q)
|
100% |
9223
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3948
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3997
64.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11014
178.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6955
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
7041
8.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
27763
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2950
234.0 IPS |
|
|
Object Detection (HP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (Q)
|
88% |
9377
751.7 IPS |
|
|
Face Detection (SP)
|
100% |
7853
93.3 IPS |
|
|
Face Detection (HP)
|
100% |
7715
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
22376
265.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8632
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8664
66.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
23589
183.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19125
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19391
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72414
93.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4108
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4197
155.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13793
510.8 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
3565
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4695
80.9 IPS |
