LENOVO 83HM
Geekbench AI Score
3026
Single Precision Score
16741
Half Precision Score
20692
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 04 2025 03:19 AM |
| Views | 4 |
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 |
| 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% |
1772
329.5 IPS |
|
|
Image Classification (HP)
|
100% |
9815
1.83 KIPS |
|
|
Image Classification (Q)
|
100% |
10605
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11732
190.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16092
260.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
91724
107.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
165445
193.8 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
10208
809.7 IPS |
|
|
Object Detection (Q)
|
87% |
10169
816.2 IPS |
|
|
Face Detection (SP)
|
100% |
5537
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
24025
285.5 IPS |
|
|
Face Detection (Q)
|
100% |
36981
439.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4692
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52137
401.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
81628
635.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10125
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
172413
221.6 IPS |
|
|
Style Transfer (Q)
|
98% |
238376
307.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22946
847.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25018
926.5 IPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2371
40.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2247
38.7 IPS |
