LENOVO 83KY
Geekbench AI Score
8393
Single Precision Score
8424
Half Precision Score
15609
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | wodkane |
| Upload Date | August 25 2025 02:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
5475
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
6262
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
10255
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7719
125.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4389
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12192
197.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13474
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12994
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30115
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
5200
412.5 IPS |
|
|
Object Detection (HP)
|
100% |
6359
504.4 IPS |
|
|
Object Detection (Q)
|
88% |
10748
861.5 IPS |
|
|
Face Detection (SP)
|
100% |
15173
180.3 IPS |
|
|
Face Detection (HP)
|
100% |
17969
213.5 IPS |
|
|
Face Detection (Q)
|
100% |
28846
342.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13450
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15900
122.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
29367
228.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27478
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22497
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
87304
112.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7659
282.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6227
229.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16754
620.5 IPS |
|
|
Text Classification (SP)
|
100% |
3805
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (Q)
|
92% |
5893
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6652
114.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2906
50.1 IPS |
