LENOVO 82V7
Geekbench AI Score
110
Single Precision Score
127
Half Precision Score
89
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 10 2026 02:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82V7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Celeron N4120 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
30
5.50 IPS |
|
|
Image Classification (HP)
|
100% |
44
8.18 IPS |
|
|
Image Classification (Q)
|
100% |
29
5.34 IPS |
|
|
Image Segmentation (SP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
73
1.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
57
0.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
267
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
37
2.92 IPS |
|
|
Object Detection (HP)
|
98% |
50
4.00 IPS |
|
|
Object Detection (Q)
|
86% |
35
2.78 IPS |
|
|
Face Detection (SP)
|
100% |
123
1.46 IPS |
|
|
Face Detection (HP)
|
100% |
124
1.47 IPS |
|
|
Face Detection (Q)
|
97% |
109
1.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
174
1.34 IPS |
|
|
Depth Estimation (HP)
|
98% |
219
1.69 IPS |
|
|
Depth Estimation (Q)
|
77% |
152
1.22 IPS |
|
|
Style Transfer (SP)
|
100% |
781
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
1128
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
664
0.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
215
7.94 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
116
4.31 IPS |
|
|
Text Classification (SP)
|
100% |
86
114.6 IPS |
|
|
Text Classification (HP)
|
100% |
40
53.0 IPS |
|
|
Text Classification (Q)
|
97% |
47
62.9 IPS |
|
|
Machine Translation (SP)
|
100% |
58
0.99 IPS |
|
|
Machine Translation (HP)
|
100% |
61
1.05 IPS |
|
|
Machine Translation (Q)
|
70% |
36
0.68 IPS |
