LENOVO 21E60050UK
Geekbench AI Score
2427
Single Precision Score
2505
Half Precision Score
1520
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 17 2026 04:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
931
173.1 IPS |
|
|
Image Classification (HP)
|
100% |
992
184.5 IPS |
|
|
Image Classification (Q)
|
100% |
799
148.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1040
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9464
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10999
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5169
6.05 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
98% |
1114
88.7 IPS |
|
|
Object Detection (Q)
|
86% |
1060
85.3 IPS |
|
|
Face Detection (SP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (Q)
|
97% |
1656
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5191
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5844
45.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3655
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21912
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28719
36.9 IPS |
|
|
Style Transfer (Q)
|
98% |
13179
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2960
109.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1305
48.3 IPS |
|
|
Text Classification (SP)
|
100% |
609
813.2 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.6 IPS |
|
|
Text Classification (Q)
|
97% |
338
452.2 IPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (Q)
|
70% |
411
7.72 IPS |
