LENOVO 83ML
Geekbench AI Score
4450
Single Precision Score
3418
Half Precision Score
10384
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 06:10 AM |
| Views | 4 |
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% |
2616
486.5 IPS |
|
|
Image Classification (HP)
|
100% |
1272
236.5 IPS |
|
|
Image Classification (Q)
|
100% |
6473
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3441
55.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6954
112.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6768
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6293
7.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
23758
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (Q)
|
88% |
6729
539.4 IPS |
|
|
Face Detection (SP)
|
100% |
7911
94.0 IPS |
|
|
Face Detection (HP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
15319
182.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7081
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5561
42.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19534
151.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18309
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17961
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
61740
79.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3297
121.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11590
429.2 IPS |
|
|
Text Classification (SP)
|
100% |
2724
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
4341
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2180
37.5 IPS |
