LENOVO 21NS0014US
Geekbench AI Score
2547
Single Precision Score
1316
Half Precision Score
5050
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 03:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21NS0014US |
| Motherboard | LENOVO 21NS0014US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1809
336.4 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (Q)
|
99% |
4155
775.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2417
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3124
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2576
3.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
11599
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
4284
344.3 IPS |
|
|
Face Detection (SP)
|
100% |
5113
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
7085
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4505
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1966
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10200
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8264
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6762
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
17701
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1472
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3683
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
745
994.5 IPS |
|
|
Text Classification (Q)
|
97% |
1550
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2962
59.5 IPS |
