GPD G1617-01
Geekbench AI Score
1848
Single Precision Score
957
Half Precision Score
4215
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 08:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GPD G1617-01 |
| Motherboard | GPD G1617-01 |
| Power Plan | Balanced |
| 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% |
1427
265.3 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
99% |
4140
772.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
2219
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2929
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2393
2.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
12396
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
86% |
4136
332.4 IPS |
|
|
Face Detection (SP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
1107
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
6713
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3875
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1478
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6139
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7129
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
6430
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
16337
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1156
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2287
84.7 IPS |
|
|
Text Classification (SP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
497
663.5 IPS |
|
|
Text Classification (Q)
|
97% |
1264
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
65% |
1933
38.8 IPS |
