LENOVO 83F5
Geekbench AI Score
6200
Single Precision Score
2185
Half Precision Score
10608
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | maybesid |
| Upload Date | October 06 2025 08:42 AM |
| Views | 7 |
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(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% |
4418
821.7 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.2 IPS |
|
|
Image Classification (Q)
|
99% |
8247
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14283
232.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12204
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6902
8.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
35263
41.3 IPS |
|
|
Object Detection (SP)
|
100% |
4360
345.9 IPS |
|
|
Object Detection (HP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (Q)
|
86% |
11535
927.1 IPS |
|
|
Face Detection (SP)
|
100% |
14939
177.5 IPS |
|
|
Face Detection (HP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
13208
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14910
114.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3126
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
24361
194.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30213
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18502
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27223
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4004
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2671
98.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7081
262.2 IPS |
|
|
Text Classification (SP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1467
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4139
83.2 IPS |
