GPD G1618-04
Geekbench AI Score
2757
Single Precision Score
1456
Half Precision Score
3580
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 09:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GPD G1618-04 |
| Motherboard | GPD G1618-04 |
| Power Plan | Balanced |
| 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (Q)
|
99% |
4110
766.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2251
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5431
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4524
5.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
19993
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (Q)
|
88% |
1926
154.4 IPS |
|
|
Face Detection (SP)
|
100% |
2704
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
4403
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6140
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2252
17.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4425
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12503
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11315
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22974
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2295
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3034
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
1752
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
689
919.5 IPS |
|
|
Text Classification (Q)
|
97% |
395
528.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1742
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1811
40.4 IPS |
