LENOVO 83HM
Geekbench AI Score
10778
Single Precision Score
26881
Half Precision Score
31190
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CalledLuca |
| Upload Date | October 11 2025 03:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Bilanciato |
| 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% |
7219
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
15357
2.86 KIPS |
|
|
Image Classification (Q)
|
100% |
18129
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8794
142.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24561
398.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29471
477.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22935
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
125095
146.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
251457
294.4 IPS |
|
|
Object Detection (SP)
|
100% |
6385
506.5 IPS |
|
|
Object Detection (HP)
|
100% |
14790
1.17 KIPS |
|
|
Object Detection (Q)
|
88% |
16879
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
13567
161.2 IPS |
|
|
Face Detection (HP)
|
100% |
30272
359.7 IPS |
|
|
Face Detection (Q)
|
100% |
41256
490.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21787
167.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56728
437.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
66774
519.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53392
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
147268
189.3 IPS |
|
|
Style Transfer (Q)
|
98% |
156588
201.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9439
348.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27213
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34884
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
4397
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
92% |
3381
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3475
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7198
124.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7554
130.1 IPS |
