GPD G1619-04
Geekbench AI Score
6151
Single Precision Score
7903
Half Precision Score
4695
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | givmedew |
| Upload Date | October 17 2025 01:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
2832
526.7 IPS |
|
|
Image Classification (Q)
|
100% |
1924
357.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3728
60.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3031
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25310
29.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
42739
49.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
21328
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
100% |
2848
225.9 IPS |
|
|
Object Detection (Q)
|
87% |
2194
176.2 IPS |
|
|
Face Detection (SP)
|
100% |
5560
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
8721
103.6 IPS |
|
|
Face Detection (Q)
|
97% |
4708
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13632
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17588
135.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10874
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44060
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
64906
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37062
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9952
367.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13497
498.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6433
238.2 IPS |
|
|
Text Classification (SP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1099
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3071
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1422
26.7 IPS |
