LENOVO 83ML
Geekbench AI Score
5577
Single Precision Score
6441
Half Precision Score
3945
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130T GPU (16GB) |
| 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% |
3415
635.1 IPS |
|
|
Image Classification (HP)
|
100% |
4120
766.2 IPS |
|
|
Image Classification (Q)
|
99% |
2787
519.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6790
110.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2169
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21058
24.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
18643
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16797
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3671
291.2 IPS |
|
|
Object Detection (HP)
|
99% |
4301
342.1 IPS |
|
|
Object Detection (Q)
|
85% |
2960
238.2 IPS |
|
|
Face Detection (SP)
|
100% |
6059
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
7124
84.6 IPS |
|
|
Face Detection (Q)
|
97% |
4541
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13267
102.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
15144
117.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
9419
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
46999
60.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44774
57.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33082
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6292
232.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10079
372.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4322
160.0 IPS |
|
|
Text Classification (SP)
|
86% |
873
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
84% |
620
841.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
70% |
803
15.1 IPS |
