GPD G1617-01
Geekbench AI Score
2060
Single Precision Score
956
Half Precision Score
3265
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 05:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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% |
1491
277.3 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
99% |
4061
757.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1599
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3294
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2847
3.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
13081
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
86% |
3160
253.9 IPS |
|
|
Face Detection (SP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6581
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4218
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1503
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5030
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7842
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6755
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
17117
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1838
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
1075
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.5 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
65% |
1548
31.1 IPS |
