LENOVO 83HM
Geekbench AI Score
2463
Single Precision Score
1284
Half Precision Score
4918
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 04 2025 03:25 AM |
| Views | 16 |
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 |
| 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% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
99% |
4091
763.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2419
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3125
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2634
3.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
11738
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.5 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
4097
329.2 IPS |
|
|
Face Detection (SP)
|
100% |
4866
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
6791
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4475
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1879
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9803
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8044
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6550
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
17116
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3518
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
677
903.9 IPS |
|
|
Text Classification (Q)
|
97% |
1603
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2708
54.4 IPS |
