LENOVO 83HM
Geekbench AI Score
2420
Single Precision Score
1252
Half Precision Score
4843
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| 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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
3919
731.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2427
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3057
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
11997
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1689
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
3927
315.6 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
6715
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4329
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1843
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10150
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7773
9.99 IPS |
|
|
Style Transfer (HP)
|
100% |
6496
8.35 IPS |
|
|
Style Transfer (Q)
|
98% |
16937
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1671
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3430
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
1227
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
667
889.7 IPS |
|
|
Text Classification (Q)
|
97% |
1550
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2582
51.9 IPS |
