LENOVO 83F5
Geekbench AI Score
9368
Single Precision Score
9965
Half Precision Score
15352
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 10:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83F5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6177
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
7025
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9765
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8415
136.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13808
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34193
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75169
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
6058
480.5 IPS |
|
|
Object Detection (HP)
|
100% |
6184
490.5 IPS |
|
|
Object Detection (Q)
|
87% |
10096
810.3 IPS |
|
|
Face Detection (SP)
|
100% |
16691
198.3 IPS |
|
|
Face Detection (HP)
|
100% |
16727
198.8 IPS |
|
|
Face Detection (Q)
|
100% |
29347
348.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14917
114.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18717
144.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34954
272.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37855
48.7 IPS |
|
|
Style Transfer (HP)
|
100% |
52321
67.3 IPS |
|
|
Style Transfer (Q)
|
98% |
96744
124.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8294
306.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14432
532.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26155
968.6 IPS |
|
|
Text Classification (SP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2157
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4458
76.8 IPS |
