LENOVO 83HM
Geekbench AI Score
1977
Single Precision Score
22758
Half Precision Score
34419
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 07:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 256V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
11973
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
17179
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14679
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31523
511.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1496
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
101499
118.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
179945
210.8 IPS |
|
|
Object Detection (SP)
|
100% |
1197
94.9 IPS |
|
|
Object Detection (HP)
|
100% |
16378
1.30 KIPS |
|
|
Object Detection (Q)
|
87% |
22612
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4139
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
28278
336.0 IPS |
|
|
Face Detection (Q)
|
100% |
48311
574.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3636
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
67813
522.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
109436
851.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4253
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
177803
228.6 IPS |
|
|
Style Transfer (Q)
|
98% |
297571
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34098
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59821
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2856
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
2996
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3756
64.7 IPS |
