LENOVO 83KY
Geekbench AI Score
5676
Single Precision Score
9072
Half Precision Score
13485
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | wodkane |
| Upload Date | August 25 2025 02:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3888
723.1 IPS |
|
|
Image Classification (HP)
|
100% |
5882
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
7807
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4204
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9071
147.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11272
182.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11595
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10830
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
34969
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (HP)
|
100% |
5704
452.5 IPS |
|
|
Object Detection (Q)
|
88% |
9494
760.8 IPS |
|
|
Face Detection (SP)
|
100% |
8592
102.1 IPS |
|
|
Face Detection (HP)
|
100% |
16694
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
25598
304.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12497
96.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
21941
169.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24684
191.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28841
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39118
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
80742
104.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9114
336.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14286
529.1 IPS |
|
|
Text Classification (SP)
|
71% |
1566
2.26 KIPS |
|
|
Text Classification (HP)
|
71% |
2409
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
2526
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3644
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3697
63.9 IPS |
