GPD G1622-01
Geekbench AI Score
2804
Single Precision Score
1495
Half Precision Score
4861
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:22 AM |
| Views | 3 |
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 (64-bit) |
| Model | GPD G1622-01 |
| Motherboard | GPD G1622-01 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
99% |
3586
668.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3074
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8136
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6208
7.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
28105
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.3 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (Q)
|
88% |
1811
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
1424
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
5756
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6129
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2435
18.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6000
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15588
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15155
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31095
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3687
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
1348
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
616
822.1 IPS |
|
|
Text Classification (Q)
|
97% |
1313
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2129
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2530
56.4 IPS |
