LENOVO 83HM
Geekbench AI Score
2575
Single Precision Score
1221
Half Precision Score
5815
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | September 06 2025 12:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
894
166.3 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
99% |
4524
843.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
798
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7105
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4188
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2593
3.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
16420
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
4858
390.4 IPS |
|
|
Face Detection (SP)
|
100% |
6172
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
5937
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5042
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1799
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12946
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11114
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7785
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15232
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1477
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4736
175.4 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
650
868.1 IPS |
|
|
Text Classification (Q)
|
97% |
1334
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2334
46.9 IPS |
