GPD G1628-04
Geekbench AI Score
2978
Single Precision Score
1495
Half Precision Score
6104
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | February 20 2026 09:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| 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% |
2249
418.3 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.8 IPS |
|
|
Image Classification (Q)
|
99% |
4567
851.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7061
114.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4065
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3506
4.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
15737
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (Q)
|
86% |
6580
528.9 IPS |
|
|
Face Detection (SP)
|
100% |
5628
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
9009
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7354
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2486
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14669
117.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14573
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12649
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28637
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1890
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1982
73.4 IPS |
|
|
Text Classification (SP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.7 IPS |
|
|
Text Classification (Q)
|
97% |
1240
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2315
46.5 IPS |
