LENOVO 21E60050UK
Geekbench AI Score
1775
Single Precision Score
740
Half Precision Score
3815
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 17 2026 04:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21E60050UK |
| Motherboard | LENOVO 21E60050UK |
| 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% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
99% |
1953
364.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
2576
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3568
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2147
2.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
10560
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
3224
259.1 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
5372
64.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3595
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
903
6.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
8527
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5464
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3492
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
10028
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3262
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
499
666.4 IPS |
|
|
Text Classification (Q)
|
97% |
1213
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (Q)
|
65% |
2099
42.2 IPS |
