GPD G1617-01
Geekbench AI Score
1424
Single Precision Score
1458
Half Precision Score
3708
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 02:16 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GPD G1617-01 |
| Motherboard | GPD G1617-01 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
979
182.0 IPS |
|
|
Image Classification (Q)
|
100% |
2251
418.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
1090
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1740
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1774
2.07 IPS |
|
|
Pose Estimation (Q)
|
98% |
7004
8.20 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (Q)
|
88% |
2402
192.6 IPS |
|
|
Face Detection (SP)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
2339
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
6556
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2446
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2407
18.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
6160
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4872
6.26 IPS |
|
|
Style Transfer (HP)
|
100% |
6373
8.19 IPS |
|
|
Style Transfer (Q)
|
98% |
17816
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3887
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2402
41.4 IPS |
