LENOVO 21NS001ACD
Geekbench AI Score
3000
Single Precision Score
18023
Half Precision Score
25555
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 08:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21NS001ACD |
| Motherboard | LENOVO 21NS001ACD |
| 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% |
1977
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
11874
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
16004
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5096
82.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7227
117.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3413
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
95261
111.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
189249
221.7 IPS |
|
|
Object Detection (SP)
|
100% |
1883
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
13530
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
18069
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
5526
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
23226
276.0 IPS |
|
|
Face Detection (Q)
|
100% |
45357
538.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4658
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
64937
500.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
103677
806.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10200
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201436
258.9 IPS |
|
|
Style Transfer (Q)
|
98% |
309299
398.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32458
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45284
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
1981
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2450
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2239
38.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2302
39.6 IPS |
