LENOVO 83HM
Geekbench AI Score
8791
Single Precision Score
22368
Half Precision Score
25652
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 16 2025 01:24 PM |
| Views | 4 |
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% |
5855
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
12544
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
14642
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7116
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13067
211.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14955
242.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22742
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
119399
139.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
215880
252.7 IPS |
|
|
Object Detection (SP)
|
100% |
5335
423.2 IPS |
|
|
Object Detection (HP)
|
100% |
12522
993.3 IPS |
|
|
Object Detection (Q)
|
88% |
13068
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
13582
161.4 IPS |
|
|
Face Detection (HP)
|
100% |
30405
361.3 IPS |
|
|
Face Detection (Q)
|
100% |
38872
461.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22022
169.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50097
386.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
57623
448.1 IPS |
|
|
Style Transfer (SP)
|
100% |
52023
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
142978
183.8 IPS |
|
|
Style Transfer (Q)
|
98% |
174226
224.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8950
330.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25075
925.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28662
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3549
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4933
85.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5031
86.7 IPS |
