GPD G1619-04
Geekbench AI Score
2452
Single Precision Score
1198
Half Precision Score
4225
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 06:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GPD G1619-04 |
| Motherboard | GPD G1619-04 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2169
403.4 IPS |
|
|
Image Classification (HP)
|
100% |
478
89.0 IPS |
|
|
Image Classification (Q)
|
96% |
3738
698.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
4137
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4005
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
8523
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1874
148.6 IPS |
|
|
Object Detection (HP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (Q)
|
58% |
2452
267.9 IPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
1217
14.5 IPS |
|
|
Face Detection (Q)
|
96% |
6319
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5071
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1811
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8005
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8931
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7655
9.84 IPS |
|
|
Style Transfer (Q)
|
87% |
12865
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3316
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1269
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2050
39.6 IPS |
