GPD G1622-01
Geekbench AI Score
2753
Single Precision Score
1437
Half Precision Score
4687
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:30 AM |
| Views | 5 |
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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
99% |
3398
633.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3049
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8296
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
6253
7.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
28915
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
88% |
1762
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
5926
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6144
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2411
18.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6164
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15773
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14476
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31669
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2233
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2007
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3798
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
567
756.8 IPS |
|
|
Text Classification (Q)
|
97% |
1466
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (Q)
|
60% |
1506
33.6 IPS |
