GPD G1622-01
Geekbench AI Score
4819
Single Precision Score
4813
Half Precision Score
11991
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2822
524.9 IPS |
|
|
Image Classification (HP)
|
100% |
2745
510.5 IPS |
|
|
Image Classification (Q)
|
100% |
7164
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6782
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8238
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
8251
9.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
29022
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
2747
217.9 IPS |
|
|
Object Detection (HP)
|
100% |
2777
220.3 IPS |
|
|
Object Detection (Q)
|
88% |
7963
638.4 IPS |
|
|
Face Detection (SP)
|
100% |
8329
99.0 IPS |
|
|
Face Detection (HP)
|
100% |
8227
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
20540
244.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8374
64.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
20725
161.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19579
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20529
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
72682
93.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4023
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12871
476.7 IPS |
|
|
Text Classification (SP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
3147
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4370
75.3 IPS |
