LENOVO 83HM
Geekbench AI Score
2121
Single Precision Score
21591
Half Precision Score
32423
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 03:05 PM |
| Views | 5 |
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 |
| 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% |
1504
279.7 IPS |
|
|
Image Classification (HP)
|
100% |
12242
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
16750
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15964
258.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30261
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
99184
115.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
188838
221.2 IPS |
|
|
Object Detection (SP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (HP)
|
100% |
12735
1.01 KIPS |
|
|
Object Detection (Q)
|
87% |
21782
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
25089
298.1 IPS |
|
|
Face Detection (Q)
|
100% |
47512
564.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4694
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
66930
515.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
112858
878.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10178
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
193857
249.2 IPS |
|
|
Style Transfer (Q)
|
98% |
282334
364.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2138
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25731
950.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
47272
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (Q)
|
92% |
2125
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4050
69.8 IPS |
