GPD G1619-04
Geekbench AI Score
1834
Single Precision Score
1651
Half Precision Score
3909
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 12:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7640U w/ Radeon 760M Graphics |
| 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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.3 IPS |
|
|
Image Classification (Q)
|
100% |
2872
534.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1281
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1811
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (Q)
|
98% |
7292
8.54 IPS |
|
|
Object Detection (SP)
|
100% |
999
79.3 IPS |
|
|
Object Detection (HP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (Q)
|
88% |
2202
176.5 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (Q)
|
100% |
6541
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4457
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3787
29.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
6419
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5424
6.97 IPS |
|
|
Style Transfer (HP)
|
100% |
5097
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
17072
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3447
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
1276
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (Q)
|
92% |
2354
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2427
41.8 IPS |
