GPD G1617-01
Geekbench AI Score
2484
Single Precision Score
1296
Half Precision Score
3337
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 09:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
3639
678.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1980
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4703
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3778
4.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
17834
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.2 IPS |
|
|
Object Detection (Q)
|
88% |
1768
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
4262
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5181
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2071
16.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4277
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11352
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9173
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21933
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1992
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3000
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
627
836.6 IPS |
|
|
Text Classification (Q)
|
97% |
374
500.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
60% |
1684
37.6 IPS |
