LENOVO 21NS005UUS
Geekbench AI Score
2264
Single Precision Score
1059
Half Precision Score
4355
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 08:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21NS005UUS |
| Motherboard | LENOVO 21NS005UUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1759
327.1 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
99% |
4397
820.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2479
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3191
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1729
2.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
10191
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
86% |
3964
318.6 IPS |
|
|
Face Detection (SP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
1438
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
6458
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3966
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1484
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9846
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6197
7.97 IPS |
|
|
Style Transfer (HP)
|
100% |
5242
6.74 IPS |
|
|
Style Transfer (Q)
|
98% |
12943
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1204
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2928
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.4 IPS |
|
|
Text Classification (Q)
|
97% |
1149
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1814
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (Q)
|
65% |
2013
40.4 IPS |
