GPD G1619-04
Geekbench AI Score
2721
Single Precision Score
803
Half Precision Score
5704
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | evilgeniustodd |
| Upload Date | March 19 2025 05:58 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| 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% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (Q)
|
97% |
5981
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
2934
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5400
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4207
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
18936
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
86% |
6134
493.0 IPS |
|
|
Face Detection (SP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (Q)
|
97% |
12302
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6009
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1119
8.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
5663
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12771
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10624
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18791
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2188
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2860
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
1992
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
504
673.2 IPS |
|
|
Text Classification (Q)
|
97% |
1779
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
65% |
2688
54.0 IPS |
