LENOVO 83F5
Geekbench AI Score
5611
Single Precision Score
2116
Half Precision Score
9982
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 05:09 PM |
| Views | 4 |
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 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4562
848.3 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.4 IPS |
|
|
Image Classification (Q)
|
99% |
8696
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14535
236.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12388
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6045
7.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
36239
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (HP)
|
100% |
954
75.7 IPS |
|
|
Object Detection (Q)
|
86% |
10066
809.0 IPS |
|
|
Face Detection (SP)
|
100% |
11640
138.3 IPS |
|
|
Face Detection (HP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
11912
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11762
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3030
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19632
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26440
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15092
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29351
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4206
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6101
225.9 IPS |
|
|
Text Classification (SP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1375
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2646
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3700
74.3 IPS |
