GPD G1619-04
Geekbench AI Score
1581
Single Precision Score
488
Half Precision Score
2484
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | zgqinc |
| Upload Date | August 17 2024 03:30 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7640U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | GPD G1619-04 |
| Motherboard | GPD G1619-04 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
891
165.6 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (Q)
|
99% |
2703
504.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1332
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2284
2.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
11699
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
975
77.3 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
88% |
1104
88.5 IPS |
|
|
Face Detection (SP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (Q)
|
97% |
3280
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3106
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
635
4.89 IPS |
|
|
Depth Estimation (Q)
|
76% |
5637
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6518
8.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5788
7.44 IPS |
|
|
Style Transfer (Q)
|
98% |
14991
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1930
71.5 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.8 IPS |
|
|
Text Classification (Q)
|
97% |
290
388.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1243
27.7 IPS |
