GPD G1619-04
Geekbench AI Score
4147
Single Precision Score
4236
Half Precision Score
12688
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | evilgeniustodd |
| Upload Date | March 19 2025 05:52 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| Model | GPD G1619-04 |
| Motherboard | GPD G1619-04 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2724
506.6 IPS |
|
|
Image Classification (HP)
|
100% |
2795
519.8 IPS |
|
|
Image Classification (Q)
|
100% |
8679
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7552
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5406
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5488
6.40 IPS |
|
|
Pose Estimation (Q)
|
98% |
22033
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (Q)
|
88% |
8517
682.8 IPS |
|
|
Face Detection (SP)
|
100% |
5879
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
5834
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
20472
243.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7007
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7085
54.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
21421
166.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14739
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15020
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
57826
74.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3194
117.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3228
119.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11210
415.1 IPS |
|
|
Text Classification (SP)
|
100% |
2839
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (Q)
|
92% |
4965
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4203
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6229
107.3 IPS |
