LENOVO 83HM
Geekbench AI Score
2594
Single Precision Score
19054
Half Precision Score
26905
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | May 21 2025 03:19 AM |
| Views | 3 |
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(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% |
1830
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
8459
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
11758
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11954
193.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19041
308.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
98313
114.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
188743
221.1 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
11999
951.8 IPS |
|
|
Object Detection (Q)
|
87% |
16399
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
5341
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
23746
282.2 IPS |
|
|
Face Detection (Q)
|
100% |
42749
507.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4196
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
61939
477.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
90334
703.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6958
8.94 IPS |
|
|
Style Transfer (HP)
|
100% |
188079
241.8 IPS |
|
|
Style Transfer (Q)
|
98% |
283348
365.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28801
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45396
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (Q)
|
92% |
2016
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2865
49.3 IPS |
