LENOVO 83HM
Geekbench AI Score
3118
Single Precision Score
29961
Half Precision Score
50632
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CalledLuca |
| Upload Date | October 11 2025 03:39 PM |
| Views | 4 |
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 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% |
1876
349.0 IPS |
|
|
Image Classification (HP)
|
100% |
16859
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
23054
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19408
314.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32481
526.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
112731
131.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
248018
290.5 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
18412
1.46 KIPS |
|
|
Object Detection (Q)
|
88% |
28276
2.27 KIPS |
|
|
Face Detection (SP)
|
100% |
5501
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
42414
504.0 IPS |
|
|
Face Detection (Q)
|
100% |
98336
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4537
35.0 IPS |
|
|
Depth Estimation (HP)
|
92% |
83532
648.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
162927
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
9956
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238871
307.1 IPS |
|
|
Style Transfer (Q)
|
98% |
419356
540.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41268
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86011
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
3920
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7735
133.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9308
160.3 IPS |
