GPD G1622-01
Geekbench AI Score
7386
Single Precision Score
11218
Half Precision Score
5735
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | December 05 2024 03:15 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
2359
438.6 IPS |
|
|
Image Classification (HP)
|
100% |
5156
958.8 IPS |
|
|
Image Classification (Q)
|
100% |
2008
373.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4322
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5991
97.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3667
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45806
53.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
76151
88.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
32853
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
2962
234.9 IPS |
|
|
Object Detection (Q)
|
87% |
2252
180.8 IPS |
|
|
Face Detection (SP)
|
100% |
6560
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
11300
134.3 IPS |
|
|
Face Detection (Q)
|
97% |
5631
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17534
135.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23494
181.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13615
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
72493
93.2 IPS |
|
|
Style Transfer (HP)
|
100% |
111709
143.6 IPS |
|
|
Style Transfer (Q)
|
98% |
49677
64.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9407
347.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19827
732.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6725
249.0 IPS |
|
|
Text Classification (SP)
|
100% |
2521
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1883
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2633
45.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1466
27.5 IPS |
