LENOVO 21E60050UK
Geekbench AI Score
1539
Single Precision Score
1605
Half Precision Score
3336
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 17 2026 04:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
570
106.0 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.1 IPS |
|
|
Image Classification (Q)
|
100% |
1200
223.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3256
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3106
3.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
9026
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1220
96.8 IPS |
|
|
Object Detection (HP)
|
100% |
1216
96.5 IPS |
|
|
Object Detection (Q)
|
88% |
2246
180.0 IPS |
|
|
Face Detection (SP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (Q)
|
100% |
3674
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2067
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2029
15.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
6517
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6362
8.18 IPS |
|
|
Style Transfer (HP)
|
100% |
6476
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
24451
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2160
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
717
957.1 IPS |
|
|
Text Classification (Q)
|
92% |
1342
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1366
23.5 IPS |
