LENOVO 82K1
Geekbench AI Score
525
Single Precision Score
527
Half Precision Score
290
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | July 12 2025 10:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-11300H |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 82K1 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
99% |
148
27.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
211
3.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
479
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (Q)
|
85% |
205
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (HP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (Q)
|
97% |
464
5.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
665
5.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
668
5.15 IPS |
|
|
Depth Estimation (Q)
|
63% |
389
3.65 IPS |
|
|
Style Transfer (SP)
|
100% |
913
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
904
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
1074
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
396
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
273
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.9 IPS |
|
|
Text Classification (HP)
|
100% |
447
596.8 IPS |
|
|
Text Classification (Q)
|
92% |
170
228.4 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
58% |
157
3.68 IPS |
