LENOVO 10RRA00VBP
Geekbench AI Score
2024
Single Precision Score
2051
Half Precision Score
3200
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | lpessoa |
| Upload Date | June 18 2025 02:25 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8600 CPU @ 3.10GHz |
| 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% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
1245
231.5 IPS |
|
|
Image Classification (Q)
|
100% |
2021
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2635
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2674
3.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
5003
5.87 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
100% |
1226
97.3 IPS |
|
|
Object Detection (Q)
|
87% |
2201
176.5 IPS |
|
|
Face Detection (SP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
5658
67.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3237
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3324
25.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
5608
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7225
9.29 IPS |
|
|
Style Transfer (HP)
|
100% |
7412
9.53 IPS |
|
|
Style Transfer (Q)
|
98% |
14438
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3007
111.4 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (Q)
|
91% |
724
973.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2041
35.2 IPS |
