LENOVO 10RRA00VBP
Geekbench AI Score
1518
Single Precision Score
543
Half Precision Score
2178
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | lpessoa |
| Upload Date | June 18 2025 02:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10RRA00VBP |
| Motherboard | LENOVO 3136 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
96% |
1871
349.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
1264
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2166
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2058
2.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
3806
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
1226
97.3 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
58% |
1345
146.9 IPS |
|
|
Face Detection (SP)
|
100% |
1771
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (Q)
|
96% |
3293
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2735
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
668
5.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
4329
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6370
8.19 IPS |
|
|
Style Transfer (HP)
|
100% |
2785
3.58 IPS |
|
|
Style Transfer (Q)
|
87% |
7951
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1305
48.3 IPS |
|
|
Text Classification (SP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
585
780.8 IPS |
|
|
Text Classification (Q)
|
97% |
1018
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.88 IPS |
|
|
Machine Translation (Q)
|
68% |
1322
25.5 IPS |
