LENOVO 21NS0003JP
Geekbench AI Score
3063
Single Precision Score
23439
Half Precision Score
36325
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 12:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1922
357.3 IPS |
|
|
Image Classification (HP)
|
100% |
11794
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
18129
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16148
261.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31504
510.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
103458
120.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
203847
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
15848
1.26 KIPS |
|
|
Object Detection (Q)
|
87% |
23986
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
5248
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
31896
379.0 IPS |
|
|
Face Detection (Q)
|
100% |
68066
808.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4513
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
68940
531.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
113270
881.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9714
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206547
265.5 IPS |
|
|
Style Transfer (Q)
|
98% |
308017
397.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34269
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59463
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2052
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2737
3.65 KIPS |
|
|
Text Classification (Q)
|
92% |
2583
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3928
67.7 IPS |
