LENOVO 83F5
Geekbench AI Score
7186
Single Precision Score
2673
Half Precision Score
11941
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 02:51 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 Single Language (64-bit) |
| Model | LENOVO 83F5 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5805
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
905
168.3 IPS |
|
|
Image Classification (Q)
|
99% |
10395
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17505
284.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15735
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8375
9.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
50503
59.2 IPS |
|
|
Object Detection (SP)
|
100% |
5420
429.9 IPS |
|
|
Object Detection (HP)
|
100% |
1177
93.3 IPS |
|
|
Object Detection (Q)
|
86% |
12384
995.3 IPS |
|
|
Face Detection (SP)
|
100% |
16609
197.3 IPS |
|
|
Face Detection (HP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
13882
165.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16747
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3659
28.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
25531
203.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33428
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21245
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32187
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6546
242.4 IPS |
|
|
Text Classification (SP)
|
100% |
1837
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1592
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3045
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4359
87.6 IPS |
