GPD G1619-04
Geekbench AI Score
5655
Single Precision Score
7211
Half Precision Score
4377
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Darkp |
| Upload Date | February 15 2026 01:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
2493
463.6 IPS |
|
|
Image Classification (Q)
|
100% |
1898
352.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3437
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2752
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23024
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
38619
45.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
19319
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
2595
205.9 IPS |
|
|
Object Detection (Q)
|
87% |
1982
159.1 IPS |
|
|
Face Detection (SP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
7802
92.7 IPS |
|
|
Face Detection (Q)
|
97% |
4422
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12746
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16601
128.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
9916
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39736
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
58788
75.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33817
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9199
339.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11933
440.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6062
224.5 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1067
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2671
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2936
50.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1348
25.3 IPS |
