LENOVO 83HM
Geekbench AI Score
3182
Single Precision Score
1436
Half Precision Score
6591
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | dd88 |
| Upload Date | December 22 2025 03:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
2198
408.7 IPS |
|
|
Image Classification (HP)
|
100% |
586
109.1 IPS |
|
|
Image Classification (Q)
|
99% |
5209
971.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7123
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4871
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3261
3.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
16701
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
86% |
5514
443.2 IPS |
|
|
Face Detection (SP)
|
100% |
6603
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
8516
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6331
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2171
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12216
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11869
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8712
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21942
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2343
86.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5226
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
680
908.3 IPS |
|
|
Text Classification (Q)
|
97% |
1341
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2832
56.9 IPS |
