LENOVO 83LU
Geekbench AI Score
6833
Single Precision Score
2311
Half Precision Score
9964
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 03:21 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 Home (64-bit) |
| Model | LENOVO 83LU |
| 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% |
5195
966.1 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.8 IPS |
|
|
Image Classification (Q)
|
99% |
9140
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4257
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15067
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7603
8.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
47022
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
5058
401.2 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.6 IPS |
|
|
Object Detection (Q)
|
86% |
11557
928.8 IPS |
|
|
Face Detection (SP)
|
100% |
13004
154.5 IPS |
|
|
Face Detection (HP)
|
100% |
2465
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
13087
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15503
119.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3224
24.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24306
194.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33141
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19501
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31646
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5221
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3531
130.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6297
233.2 IPS |
|
|
Text Classification (SP)
|
100% |
1929
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1618
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4448
89.4 IPS |
