LENOVO 83HM
Geekbench AI Score
3160
Single Precision Score
29916
Half Precision Score
50010
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | dd88 |
| Upload Date | December 22 2025 03:17 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
1815
337.5 IPS |
|
|
Image Classification (HP)
|
100% |
15193
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
21380
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19343
313.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33096
536.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3349
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
112245
131.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
252866
296.2 IPS |
|
|
Object Detection (SP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (HP)
|
100% |
17764
1.41 KIPS |
|
|
Object Detection (Q)
|
88% |
26884
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
5626
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
42577
505.9 IPS |
|
|
Face Detection (Q)
|
100% |
94431
1.12 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4838
37.3 IPS |
|
|
Depth Estimation (HP)
|
92% |
82818
642.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
160350
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
10012
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
242454
311.7 IPS |
|
|
Style Transfer (Q)
|
98% |
422223
544.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2123
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41404
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75908
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3049
4.07 KIPS |
|
|
Text Classification (Q)
|
92% |
3795
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9081
156.4 IPS |
|
|
Machine Translation (Q)
|
100% |
11046
190.3 IPS |
