LENOVO 10RRA00VBP
Geekbench AI Score
1698
Single Precision Score
2478
Half Precision Score
2372
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | lpessoa |
| Upload Date | June 18 2025 02:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1090
202.7 IPS |
|
|
Image Classification (HP)
|
100% |
1677
311.9 IPS |
|
|
Image Classification (Q)
|
100% |
1540
286.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2105
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2669
3.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
2458
2.88 IPS |
|
|
Pose Estimation (Q)
|
97% |
3667
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
1036
82.1 IPS |
|
|
Object Detection (HP)
|
99% |
1718
136.7 IPS |
|
|
Object Detection (Q)
|
88% |
1598
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4804
57.1 IPS |
|
|
Face Detection (Q)
|
97% |
4331
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3132
24.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5337
41.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
4853
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7460
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
10024
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9005
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1301
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2302
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2184
80.9 IPS |
|
|
Text Classification (SP)
|
71% |
710
1.03 KIPS |
|
|
Text Classification (HP)
|
71% |
833
1.21 KIPS |
|
|
Text Classification (Q)
|
92% |
643
863.5 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
97% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1118
19.3 IPS |
