LENOVO 83ML
Geekbench AI Score
5531
Single Precision Score
6332
Half Precision Score
4057
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:00 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% |
3265
607.2 IPS |
|
|
Image Classification (HP)
|
100% |
3951
734.8 IPS |
|
|
Image Classification (Q)
|
99% |
2717
506.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6534
105.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2185
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21692
25.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
17914
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17747
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
3564
282.7 IPS |
|
|
Object Detection (HP)
|
99% |
3743
297.8 IPS |
|
|
Object Detection (Q)
|
85% |
2755
221.7 IPS |
|
|
Face Detection (SP)
|
100% |
5807
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
6789
80.7 IPS |
|
|
Face Detection (Q)
|
97% |
4396
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13733
105.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
15539
120.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
10222
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
46920
60.3 IPS |
|
|
Style Transfer (HP)
|
100% |
44539
57.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33395
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9816
362.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4454
164.9 IPS |
|
|
Text Classification (SP)
|
86% |
907
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
84% |
604
819.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1031
19.3 IPS |
