GPD G1617-01
Geekbench AI Score
2472
Single Precision Score
1296
Half Precision Score
3325
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 09:12 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% |
1499
278.7 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
99% |
3822
712.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1981
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4570
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3728
4.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
18210
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.1 IPS |
|
|
Object Detection (Q)
|
88% |
1704
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
4224
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5491
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2048
15.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4210
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10722
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9477
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21701
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1807
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2854
105.7 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
668
891.1 IPS |
|
|
Text Classification (Q)
|
97% |
375
502.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (Q)
|
60% |
1703
38.0 IPS |
