GPD G1622-01
Geekbench AI Score
3834
Single Precision Score
1639
Half Precision Score
7285
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | December 05 2024 03:12 PM |
| Views | 8 |
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 Pro (64-bit) |
| Model | GPD G1622-01 |
| Motherboard | GPD G1622-01 |
| Power Plan | Balanced |
| 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% |
3027
562.9 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
99% |
7029
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3734
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7739
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5777
6.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
27463
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3000
237.9 IPS |
|
|
Object Detection (HP)
|
100% |
746
59.2 IPS |
|
|
Object Detection (Q)
|
86% |
7506
603.3 IPS |
|
|
Face Detection (SP)
|
100% |
5877
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10781
128.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8405
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2701
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16183
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16321
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15069
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31264
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3594
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
642
856.9 IPS |
|
|
Text Classification (Q)
|
97% |
1538
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2582
51.9 IPS |
