LENOVO 82R7
Geekbench AI Score
1110
Single Precision Score
494
Half Precision Score
1896
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Yazn |
| Upload Date | April 07 2025 05:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82R7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1643
305.6 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
99% |
2200
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
2064
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3309
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1782
2.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
9729
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.1 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
86% |
3126
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
4175
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
5541
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4560
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1232
9.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
3734
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2083
2.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1347
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3541
4.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
223
8.22 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
387
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
111
148.5 IPS |
|
|
Text Classification (HP)
|
100% |
58
77.4 IPS |
|
|
Text Classification (Q)
|
97% |
144
192.9 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
65% |
1067
21.4 IPS |
