LENOVO 83ML
Geekbench AI Score
4025
Single Precision Score
3214
Half Precision Score
9942
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:31 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% |
2146
399.1 IPS |
|
|
Image Classification (HP)
|
100% |
1002
186.4 IPS |
|
|
Image Classification (Q)
|
100% |
4836
899.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6277
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5610
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5489
6.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
22615
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
2025
160.6 IPS |
|
|
Object Detection (HP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (Q)
|
88% |
6632
531.6 IPS |
|
|
Face Detection (SP)
|
100% |
6533
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
14322
170.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6649
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5291
40.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
18783
146.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17927
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17089
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
60542
78.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3289
121.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3790
140.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11601
429.6 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2761
3.68 KIPS |
|
|
Text Classification (Q)
|
92% |
4775
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2298
39.6 IPS |
