LENOVO 83ML
Geekbench AI Score
4381
Single Precision Score
3389
Half Precision Score
10401
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 06:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83ML |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2607
484.9 IPS |
|
|
Image Classification (HP)
|
100% |
1232
229.0 IPS |
|
|
Image Classification (Q)
|
100% |
6391
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3419
55.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7050
114.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
23625
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (Q)
|
88% |
6766
542.4 IPS |
|
|
Face Detection (SP)
|
100% |
7410
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (Q)
|
100% |
15330
182.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5572
42.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
19441
151.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18070
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17935
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
61736
79.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3332
123.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11410
422.5 IPS |
|
|
Text Classification (SP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (Q)
|
92% |
4495
6.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2181
37.6 IPS |
