LENOVO 83HM
Geekbench AI Score
3112
Single Precision Score
1324
Half Precision Score
6388
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CalledLuca |
| Upload Date | October 11 2025 03:00 PM |
| Views | 4 |
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 | Bilanciato |
| 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% |
2311
429.8 IPS |
|
|
Image Classification (HP)
|
100% |
575
107.0 IPS |
|
|
Image Classification (Q)
|
99% |
5087
948.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7255
118.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4826
5.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
17132
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2069
164.1 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (Q)
|
86% |
5337
428.9 IPS |
|
|
Face Detection (SP)
|
100% |
6682
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
8433
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5972
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1782
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
13072
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11469
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8301
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20387
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2038
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4822
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
638
851.9 IPS |
|
|
Text Classification (Q)
|
97% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2417
48.6 IPS |
