LENOVO 83HM
Geekbench AI Score
2622
Single Precision Score
1374
Half Precision Score
5089
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Quokka |
| Upload Date | February 09 2025 07:59 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 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| 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% |
1850
344.1 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
99% |
4207
784.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
935
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2487
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3322
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2829
3.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
12326
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
86% |
4151
333.6 IPS |
|
|
Face Detection (SP)
|
100% |
5280
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
1768
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
6937
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4727
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2035
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10596
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8512
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6999
9.00 IPS |
|
|
Style Transfer (Q)
|
98% |
17642
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1825
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1526
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3661
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
729
973.7 IPS |
|
|
Text Classification (Q)
|
97% |
1665
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2004
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2755
55.4 IPS |
