LENOVO 21NS0003JP
Geekbench AI Score
2404
Single Precision Score
1248
Half Precision Score
4868
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 12:43 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 21NS0003JP |
| Motherboard | LENOVO 21NS0003JP |
| 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% |
1773
329.8 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
99% |
4196
782.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2452
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3072
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2513
2.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
11286
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
4050
325.5 IPS |
|
|
Face Detection (SP)
|
100% |
4668
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
6900
82.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4239
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1879
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10358
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7574
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
5758
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
15882
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3304
122.4 IPS |
|
|
Text Classification (SP)
|
100% |
1219
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
709
946.2 IPS |
|
|
Text Classification (Q)
|
97% |
1612
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2629
52.8 IPS |
