GPD G1617-01
Geekbench AI Score
1989
Single Precision Score
955
Half Precision Score
4152
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | isaaktnt |
| Upload Date | May 11 2025 02:22 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | GPD G1617-01 |
| Motherboard | GPD G1617-01 |
| Power Plan | Optimized Power Saver |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.5 IPS |
|
|
Image Classification (Q)
|
99% |
4426
825.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1905
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2618
3.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
14056
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
3905
313.8 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5304
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4011
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1504
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5557
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8781
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6768
8.70 IPS |
|
|
Style Transfer (Q)
|
98% |
17470
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1289
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2308
85.4 IPS |
|
|
Text Classification (SP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
477
636.7 IPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (Q)
|
65% |
2348
47.2 IPS |
