GPD G1622-01
Geekbench AI Score
2810
Single Precision Score
1482
Half Precision Score
4877
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:51 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% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
3711
692.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3130
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8302
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
28527
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
88% |
1762
141.3 IPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
1336
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
5948
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6177
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2403
18.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6058
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15626
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15091
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30170
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2225
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2083
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3612
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
640
854.0 IPS |
|
|
Text Classification (Q)
|
97% |
1276
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2603
58.1 IPS |
