GPD G1619-04
Geekbench AI Score
3464
Single Precision Score
3520
Half Precision Score
5768
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | givmedew |
| Upload Date | October 17 2025 01:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 6800U with Radeon 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% |
2462
457.8 IPS |
|
|
Image Classification (HP)
|
100% |
2467
458.7 IPS |
|
|
Image Classification (Q)
|
100% |
4119
766.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3785
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4682
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4748
5.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
10080
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2178
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (Q)
|
87% |
4071
326.5 IPS |
|
|
Face Detection (SP)
|
100% |
4572
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (Q)
|
97% |
10363
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6228
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6198
47.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
10771
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13296
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13496
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29287
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2842
104.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6212
230.1 IPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (Q)
|
91% |
971
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3225
55.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3232
55.7 IPS |
