LENOVO 83F5
Geekbench AI Score
9148
Single Precision Score
9197
Half Precision Score
16833
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 10:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
6083
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6571
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
10738
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8317
134.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4740
76.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13134
212.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14187
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14481
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
31245
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
5725
454.1 IPS |
|
|
Object Detection (HP)
|
100% |
7215
572.3 IPS |
|
|
Object Detection (Q)
|
88% |
11773
943.8 IPS |
|
|
Face Detection (SP)
|
100% |
16622
197.5 IPS |
|
|
Face Detection (HP)
|
100% |
20549
244.2 IPS |
|
|
Face Detection (Q)
|
100% |
29247
347.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14928
115.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15970
123.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
32143
249.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29303
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23426
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90814
117.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8556
315.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7817
288.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17651
653.7 IPS |
|
|
Text Classification (SP)
|
100% |
4063
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5984
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3954
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7101
122.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3905
67.3 IPS |
