LENOVO 83EY
Geekbench AI Score
7181
Single Precision Score
2493
Half Precision Score
10515
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 07:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83EY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5518
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
820
152.4 IPS |
|
|
Image Classification (Q)
|
99% |
9934
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4504
73.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15677
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8253
9.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
50299
59.0 IPS |
|
|
Object Detection (SP)
|
100% |
5347
424.2 IPS |
|
|
Object Detection (HP)
|
100% |
1090
86.5 IPS |
|
|
Object Detection (Q)
|
86% |
12234
983.2 IPS |
|
|
Face Detection (SP)
|
100% |
14725
175.0 IPS |
|
|
Face Detection (HP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
13754
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17097
131.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3317
25.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
25336
202.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33652
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21011
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28254
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5749
212.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3660
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6911
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
1965
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1755
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5027
101.0 IPS |
