LENOVO 83ML
Geekbench AI Score
3699
Single Precision Score
2543
Half Precision Score
9055
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83ML |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2533
471.0 IPS |
|
|
Image Classification (HP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (Q)
|
100% |
6489
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3288
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5618
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5024
5.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4001
4.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
18410
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (Q)
|
88% |
5193
416.3 IPS |
|
|
Face Detection (SP)
|
100% |
5967
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
13640
162.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6122
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3733
28.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15115
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14567
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10860
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
55232
71.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2588
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8956
331.7 IPS |
|
|
Text Classification (SP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (Q)
|
92% |
4839
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2395
41.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2155
37.1 IPS |
