LENOVO 81Y6
Geekbench AI Score
1621
Single Precision Score
1619
Half Precision Score
997
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | afblur |
| Upload Date | October 10 2025 09:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | LENOVO 81Y6 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
1252
232.8 IPS |
|
|
Image Classification (Q)
|
99% |
608
113.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1862
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1890
2.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
1847
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
100% |
1343
106.6 IPS |
|
|
Object Detection (Q)
|
85% |
721
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
1941
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
1928
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
1564
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1858
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1876
14.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1343
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2285
2.94 IPS |
|
|
Style Transfer (HP)
|
100% |
2288
2.94 IPS |
|
|
Style Transfer (Q)
|
98% |
3614
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
980
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
483
649.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (Q)
|
58% |
471
11.1 IPS |
