LENOVO 83HM
Geekbench AI Score
3031
Single Precision Score
19638
Half Precision Score
27746
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 16 2025 01:27 PM |
| Views | 4 |
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 |
| 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% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
10729
2.00 KIPS |
|
|
Image Classification (Q)
|
100% |
14998
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11937
193.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17525
284.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3349
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
94718
110.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
190482
223.1 IPS |
|
|
Object Detection (SP)
|
100% |
1815
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
13120
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
17399
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
5329
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
27852
330.9 IPS |
|
|
Face Detection (Q)
|
100% |
48184
572.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4742
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
66211
510.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
95227
741.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10112
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
197417
253.8 IPS |
|
|
Style Transfer (Q)
|
98% |
281623
363.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2114
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27349
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43198
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
2066
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2770
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2692
46.4 IPS |
