GPD G1618-04
Geekbench AI Score
2423
Single Precision Score
704
Half Precision Score
3532
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 08:00 PM |
| Views | 12 |
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% |
1493
277.6 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
99% |
3754
700.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1976
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4267
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3598
4.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
18865
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (Q)
|
88% |
1676
134.3 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
285
3.39 IPS |
|
|
Face Detection (Q)
|
97% |
4050
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5379
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
915
7.05 IPS |
|
|
Depth Estimation (Q)
|
76% |
8212
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10687
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9258
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21102
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2804
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
651
868.6 IPS |
|
|
Text Classification (Q)
|
97% |
410
549.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (Q)
|
60% |
1600
35.7 IPS |
