GPD G1619-04
Geekbench AI Score
2458
Single Precision Score
1170
Half Precision Score
4155
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Darkp |
| Upload Date | February 15 2026 12:50 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800U |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | GPD G1619-04 |
| Motherboard | GPD G1619-04 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
478
89.0 IPS |
|
|
Image Classification (Q)
|
96% |
3587
669.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
4267
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4115
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3415
3.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
8357
9.88 IPS |
|
|
Object Detection (SP)
|
100% |
2023
160.5 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
58% |
2459
268.6 IPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
6261
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5701
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1760
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7670
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9534
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7849
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
12670
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3207
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1238
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2020
39.0 IPS |
