LENOVO 82QD
Geekbench AI Score
1420
Single Precision Score
576
Half Precision Score
2311
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | FAAlhasani |
| Upload Date | October 18 2025 04:19 PM |
| Views | 13 |
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 82QD |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
1076
200.0 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
99% |
2265
422.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1969
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
6480
7.60 IPS |
|
|
Object Detection (SP)
|
100% |
1087
86.3 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
86% |
1904
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
665
7.91 IPS |
|
|
Face Detection (Q)
|
97% |
3544
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2925
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
833
6.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
5330
42.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5323
6.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3365
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
8430
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1702
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
690
920.5 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.2 IPS |
|
|
Text Classification (Q)
|
97% |
258
345.6 IPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
65% |
1130
22.7 IPS |
