LENOVO 83HM
Geekbench AI Score
3182
Single Precision Score
21803
Half Precision Score
32681
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | May 13 2025 01:06 PM |
| Views | 6 |
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% |
1906
354.4 IPS |
|
|
Image Classification (HP)
|
100% |
11091
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
16251
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16021
259.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28506
462.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3375
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
99989
116.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
204557
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.5 IPS |
|
|
Object Detection (HP)
|
100% |
15959
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
21358
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
5580
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
32077
381.1 IPS |
|
|
Face Detection (Q)
|
100% |
67064
796.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4683
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68916
531.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
106972
832.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10087
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206464
265.4 IPS |
|
|
Style Transfer (Q)
|
98% |
306974
395.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29848
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48421
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
2016
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3195
55.0 IPS |
