LENOVO 83N2
Geekbench AI Score
5881
Single Precision Score
4287
Half Precision Score
14977
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | leonecrsp |
| Upload Date | December 24 2025 02:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83N2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3873
720.3 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
100% |
9714
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4874
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11324
183.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4686
5.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
28226
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
3244
257.3 IPS |
|
|
Object Detection (HP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (Q)
|
88% |
9944
797.2 IPS |
|
|
Face Detection (SP)
|
100% |
9228
109.7 IPS |
|
|
Face Detection (HP)
|
100% |
8487
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
25394
301.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9047
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6690
51.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
25843
200.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20768
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13810
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
76267
98.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3046
112.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14898
551.7 IPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
5419
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4635
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4553
78.4 IPS |
