BOSGAME Ecolite Series
Geekbench AI Score
587
Single Precision Score
354
Half Precision Score
710
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 02:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3550H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BOSGAME Ecolite Series |
| Motherboard | BOSGAME ADB19D |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3550H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
96% |
473
88.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
515
8.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
596
0.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
945
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
58% |
362
39.5 IPS |
|
|
Face Detection (SP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (Q)
|
96% |
1265
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1027
7.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
1161
9.27 IPS |
|
|
Style Transfer (SP)
|
100% |
2001
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1709
2.20 IPS |
|
|
Style Transfer (Q)
|
87% |
2215
2.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
402
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
525
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
432
577.1 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.1 IPS |
|
|
Text Classification (Q)
|
97% |
366
490.3 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
68% |
630
12.2 IPS |
