LENOVO 83KY
Geekbench AI Score
6782
Single Precision Score
6559
Half Precision Score
13476
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 04:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83KY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3830
712.2 IPS |
|
|
Image Classification (HP)
|
100% |
4344
807.8 IPS |
|
|
Image Classification (Q)
|
100% |
9182
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6680
108.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3816
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10828
175.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12182
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9728
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
20661
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
3779
299.8 IPS |
|
|
Object Detection (HP)
|
100% |
4605
365.3 IPS |
|
|
Object Detection (Q)
|
88% |
9544
765.1 IPS |
|
|
Face Detection (SP)
|
100% |
11132
132.3 IPS |
|
|
Face Detection (HP)
|
100% |
13696
162.7 IPS |
|
|
Face Detection (Q)
|
100% |
25744
305.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11738
90.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12773
98.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
25321
196.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26998
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23339
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
69765
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4425
163.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14993
555.2 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2492
3.33 KIPS |
|
|
Text Classification (Q)
|
92% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4409
75.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2748
47.3 IPS |
