LENOVO 21R7001LAU
Geekbench AI Score
1746
Single Precision Score
673
Half Precision Score
4241
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 11:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21R7001LAU |
| Motherboard | LENOVO 21R7001LAU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1231
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
99% |
4283
798.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
4439
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1860
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1256
1.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
8641
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
86% |
3704
297.7 IPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
97% |
4521
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3446
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
797
6.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
8589
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5230
6.72 IPS |
|
|
Style Transfer (HP)
|
100% |
3408
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
12817
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2578
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
739
985.9 IPS |
|
|
Text Classification (HP)
|
100% |
490
654.3 IPS |
|
|
Text Classification (Q)
|
97% |
1373
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
65% |
1760
35.4 IPS |
