GPD G1618-04
Geekbench AI Score
2201
Single Precision Score
666
Half Precision Score
3458
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | October 28 2024 02:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GPD G1618-04 |
| Motherboard | GPD G1618-04 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1087
202.1 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.1 IPS |
|
|
Image Classification (Q)
|
99% |
3696
689.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1990
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4023
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3429
4.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
17653
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
88% |
1419
113.8 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (Q)
|
97% |
4393
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4543
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
862
6.64 IPS |
|
|
Depth Estimation (Q)
|
76% |
8450
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9250
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8276
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20846
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2761
102.2 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
605
806.9 IPS |
|
|
Text Classification (Q)
|
97% |
369
494.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (Q)
|
60% |
1684
37.6 IPS |
