LENOVO 83HM
Geekbench AI Score
1844
Single Precision Score
777
Half Precision Score
3596
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 15 2025 11:26 AM |
| 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 |
| 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% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
99% |
3120
581.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
898
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
562
9.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
3418
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3031
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1973
2.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
8958
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
86% |
2896
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
4541
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3781
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1129
8.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
7460
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6472
8.32 IPS |
|
|
Style Transfer (HP)
|
100% |
4412
5.67 IPS |
|
|
Style Transfer (Q)
|
98% |
13370
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2495
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
712
950.3 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.1 IPS |
|
|
Text Classification (Q)
|
97% |
801
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
65% |
1446
29.1 IPS |
