LENOVO 21NX0083GR
Geekbench AI Score
1897
Single Precision Score
684
Half Precision Score
3963
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 08:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21NX0083GR |
| Motherboard | LENOVO 21NX0083GR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.2 IPS |
|
|
Image Classification (Q)
|
99% |
4601
858.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1490
1.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
10501
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (Q)
|
86% |
3991
320.8 IPS |
|
|
Face Detection (SP)
|
100% |
4246
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (Q)
|
97% |
5078
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3500
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
905
6.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
8910
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5367
6.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3536
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
12736
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2428
89.9 IPS |
|
|
Text Classification (SP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
382
509.7 IPS |
|
|
Text Classification (Q)
|
97% |
1380
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
65% |
1789
35.9 IPS |
