LENOVO 21E60050UK
Geekbench AI Score
3805
Single Precision Score
5390
Half Precision Score
8063
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 17 2026 04:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
1938
360.3 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
99% |
4040
753.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3337
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6017
97.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6876
111.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9486
11.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
7016
8.19 IPS |
|
|
Pose Estimation (Q)
|
97% |
27364
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
3514
278.7 IPS |
|
|
Object Detection (Q)
|
90% |
5261
420.7 IPS |
|
|
Face Detection (SP)
|
100% |
5052
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
9170
109.0 IPS |
|
|
Face Detection (Q)
|
100% |
13940
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8605
66.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13917
107.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
17307
134.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22856
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29310
37.7 IPS |
|
|
Style Transfer (Q)
|
98% |
64531
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4990
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9381
347.4 IPS |
|
|
Text Classification (SP)
|
71% |
904
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
1274
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
1003
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2005
34.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1983
34.3 IPS |
