OEGNB01 LENOVO 21M7002NGE
Geekbench AI Score
2319
Single Precision Score
990
Half Precision Score
4587
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | May 12 2025 12:55 PM |
| Views | 10 |
| Notes | LENOVO 21M7002NGE |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21M7002NGE |
| Motherboard | LENOVO 21M7002NGE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1800
334.7 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (Q)
|
99% |
4144
772.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2492
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3721
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2301
2.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
13437
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
86% |
3834
308.1 IPS |
|
|
Face Detection (SP)
|
100% |
3701
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6043
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4827
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1398
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10318
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8578
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
5384
6.92 IPS |
|
|
Style Transfer (Q)
|
98% |
13096
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1136
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3022
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
467
623.6 IPS |
|
|
Text Classification (Q)
|
97% |
1505
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2088
41.9 IPS |
