LENOVO 21NW
Geekbench AI Score
2703
Single Precision Score
7022
Half Precision Score
10777
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 10:19 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21NW |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
891
165.7 IPS |
|
|
Image Classification (HP)
|
100% |
3881
721.7 IPS |
|
|
Image Classification (Q)
|
100% |
5186
964.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3004
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4361
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
29161
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
62334
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
100% |
4277
339.3 IPS |
|
|
Object Detection (Q)
|
89% |
7443
596.1 IPS |
|
|
Face Detection (SP)
|
100% |
4642
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
11451
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
22517
267.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4578
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15684
120.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
30527
237.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11696
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46401
59.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81540
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2028
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11005
406.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18054
668.6 IPS |
|
|
Text Classification (SP)
|
100% |
1574
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (Q)
|
92% |
1145
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2538
43.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2524
43.5 IPS |
