LENOVO 83KY
Geekbench AI Score
6722
Single Precision Score
2384
Half Precision Score
10775
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | wodkane |
| Upload Date | August 25 2025 01:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83KY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| 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% |
5219
970.5 IPS |
|
|
Image Classification (HP)
|
100% |
832
154.8 IPS |
|
|
Image Classification (Q)
|
99% |
8682
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16119
262.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14026
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7727
9.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
44382
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
5073
402.4 IPS |
|
|
Object Detection (HP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (Q)
|
86% |
11066
889.4 IPS |
|
|
Face Detection (SP)
|
100% |
14742
175.2 IPS |
|
|
Face Detection (HP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
12387
147.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15142
116.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3347
25.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
23770
189.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30551
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18513
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29598
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3137
115.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6075
225.0 IPS |
|
|
Text Classification (SP)
|
100% |
1708
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1481
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3917
78.7 IPS |
