GPD G1622-01
Geekbench AI Score
2809
Single Precision Score
1493
Half Precision Score
4812
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:43 AM |
| Views | 2 |
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% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
3821
712.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3072
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8167
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
28724
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.8 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
88% |
1733
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
5270
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6115
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2424
18.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
6001
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15529
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15428
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30468
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3608
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
622
830.6 IPS |
|
|
Text Classification (Q)
|
97% |
1332
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2465
55.0 IPS |
