reatan A6
Geekbench AI Score
2989
Single Precision Score
1349
Half Precision Score
6352
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | reatan A6 |
| Motherboard | Shanghai Hub Union Industural Co.,Ltd Neo ARB19D-03 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3116
579.5 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.5 IPS |
|
|
Image Classification (Q)
|
99% |
7682
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6633
107.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4144
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3656
4.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
15761
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (Q)
|
86% |
5238
420.9 IPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
8675
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5570
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1897
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6766
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10313
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9400
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21995
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
688
917.9 IPS |
|
|
Text Classification (Q)
|
97% |
1400
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2845
57.2 IPS |
