GPD G1622-01
Geekbench AI Score
2824
Single Precision Score
1467
Half Precision Score
4806
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:41 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.3 IPS |
|
|
Image Classification (Q)
|
99% |
3193
595.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3062
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8159
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
6216
7.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
28142
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.7 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
88% |
1833
146.9 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
1353
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
5696
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6207
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2403
18.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5956
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15801
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14579
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30789
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2146
79.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3666
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.5 IPS |
|
|
Text Classification (Q)
|
97% |
1332
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2261
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2560
57.1 IPS |
