LENOVO 83KY
Geekbench AI Score
5785
Single Precision Score
2106
Half Precision Score
9715
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 27 2025 07:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83KY |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
4352
809.4 IPS |
|
|
Image Classification (HP)
|
100% |
735
136.6 IPS |
|
|
Image Classification (Q)
|
99% |
8146
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14944
243.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13399
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6790
7.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
39924
46.8 IPS |
|
|
Object Detection (SP)
|
100% |
3581
284.0 IPS |
|
|
Object Detection (HP)
|
100% |
983
78.0 IPS |
|
|
Object Detection (Q)
|
86% |
9617
772.9 IPS |
|
|
Face Detection (SP)
|
100% |
11594
137.8 IPS |
|
|
Face Detection (HP)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11029
131.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12648
97.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3009
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19608
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27764
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17199
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25053
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2898
107.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6181
228.9 IPS |
|
|
Text Classification (SP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1347
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2595
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3553
71.4 IPS |
