GPD G1619-04
Geekbench AI Score
1745
Single Precision Score
959
Half Precision Score
2646
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 12:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7640U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GPD G1619-04 |
| Motherboard | GPD G1619-04 |
| Power Plan | Optimized Power Saver |
| 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% |
1018
189.3 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
99% |
2740
511.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1582
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2813
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2514
2.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
12730
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (Q)
|
88% |
1264
101.3 IPS |
|
|
Face Detection (SP)
|
100% |
1948
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
3454
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3312
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1520
11.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3816
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6995
8.99 IPS |
|
|
Style Transfer (HP)
|
100% |
6382
8.20 IPS |
|
|
Style Transfer (Q)
|
98% |
15320
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2400
88.9 IPS |
|
|
Text Classification (SP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
512
683.4 IPS |
|
|
Text Classification (Q)
|
97% |
328
439.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
60% |
1521
33.9 IPS |
