GPD G1622-01
Geekbench AI Score
7743
Single Precision Score
11726
Half Precision Score
5589
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
2235
415.6 IPS |
|
|
Image Classification (HP)
|
100% |
4821
896.5 IPS |
|
|
Image Classification (Q)
|
100% |
1971
366.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4600
74.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5777
93.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3814
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
46874
54.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
76939
89.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
33569
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
2966
235.3 IPS |
|
|
Object Detection (Q)
|
89% |
1892
151.4 IPS |
|
|
Face Detection (SP)
|
100% |
6115
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
11250
133.7 IPS |
|
|
Face Detection (Q)
|
97% |
4815
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18266
140.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26797
206.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
13053
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
74418
95.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119167
153.2 IPS |
|
|
Style Transfer (Q)
|
98% |
50461
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11074
408.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20189
745.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8411
311.4 IPS |
|
|
Text Classification (SP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1869
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2973
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3823
65.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1251
27.9 IPS |
