GPD G1619-05
Geekbench AI Score
5061
Single Precision Score
5065
Half Precision Score
13456
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:44 PM |
| Views | 4 |
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 Home (64-bit) |
| Model | GPD G1619-05 |
| Motherboard | GPD G1619-05 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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% |
2905
540.3 IPS |
|
|
Image Classification (HP)
|
100% |
2869
533.6 IPS |
|
|
Image Classification (Q)
|
100% |
8480
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3607
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10293
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7081
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
7136
8.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
27885
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (HP)
|
100% |
2854
226.4 IPS |
|
|
Object Detection (Q)
|
88% |
8630
691.8 IPS |
|
|
Face Detection (SP)
|
100% |
7230
85.9 IPS |
|
|
Face Detection (HP)
|
100% |
7236
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
24323
289.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8214
63.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
20809
161.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19246
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19341
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
70112
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4007
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13090
484.8 IPS |
|
|
Text Classification (SP)
|
100% |
2653
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2716
3.63 KIPS |
|
|
Text Classification (Q)
|
92% |
3455
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4304
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4121
71.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5775
99.5 IPS |
