LENOVO 83HM
Geekbench AI Score
8734
Single Precision Score
22317
Half Precision Score
25284
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 27 2025 04:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
5720
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
12465
2.32 KIPS |
|
|
Image Classification (Q)
|
100% |
14698
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7003
113.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13121
212.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14234
230.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22811
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
116521
136.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
219924
257.5 IPS |
|
|
Object Detection (SP)
|
100% |
5815
461.2 IPS |
|
|
Object Detection (HP)
|
100% |
12537
994.4 IPS |
|
|
Object Detection (Q)
|
88% |
12980
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
13428
159.6 IPS |
|
|
Face Detection (HP)
|
100% |
30215
359.0 IPS |
|
|
Face Detection (Q)
|
100% |
38407
456.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21589
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50424
388.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
59406
462.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50054
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
142564
183.3 IPS |
|
|
Style Transfer (Q)
|
98% |
167629
216.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8980
331.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25061
925.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28346
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4735
6.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3493
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4978
85.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4722
81.3 IPS |
