LENOVO 83ML
Geekbench AI Score
9013
Single Precision Score
18470
Half Precision Score
25188
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130T GPU (16GB) (iGPU) |
| 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% |
6092
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
8429
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
13339
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7052
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13400
217.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18817
305.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21451
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92486
107.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
173044
202.6 IPS |
|
|
Object Detection (SP)
|
100% |
5884
466.7 IPS |
|
|
Object Detection (HP)
|
100% |
9634
764.2 IPS |
|
|
Object Detection (Q)
|
88% |
13669
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
10053
119.4 IPS |
|
|
Face Detection (HP)
|
100% |
19503
231.7 IPS |
|
|
Face Detection (Q)
|
100% |
32103
381.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20065
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34034
262.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
52674
409.5 IPS |
|
|
Style Transfer (SP)
|
100% |
52359
67.3 IPS |
|
|
Style Transfer (HP)
|
100% |
149482
192.2 IPS |
|
|
Style Transfer (Q)
|
98% |
226497
292.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8946
330.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27381
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33889
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3161
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2382
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4220
72.7 IPS |
