LENOVO 83HM001KJP NPU LENOVO 83HM
Geekbench AI Score
2988
Single Precision Score
18195
Half Precision Score
25736
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | fuchupc |
| Upload Date | October 13 2024 08:09 AM |
| Views | 7 |
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% |
1928
358.5 IPS |
|
|
Image Classification (HP)
|
100% |
11484
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
16466
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4445
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6816
110.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
96683
112.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
194332
227.6 IPS |
|
|
Object Detection (SP)
|
100% |
1875
148.7 IPS |
|
|
Object Detection (HP)
|
100% |
13534
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
18532
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
5476
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
25822
306.8 IPS |
|
|
Face Detection (Q)
|
100% |
47052
559.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4679
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
65660
505.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
102730
799.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10092
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
218107
280.4 IPS |
|
|
Style Transfer (Q)
|
98% |
309543
399.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30488
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42468
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
1903
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2196
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2261
38.9 IPS |
