LENOVO 83F5
Geekbench AI Score
7422
Single Precision Score
7390
Half Precision Score
14742
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | giosal |
| Upload Date | June 08 2025 07:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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(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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4670
868.5 IPS |
|
|
Image Classification (HP)
|
100% |
5287
983.3 IPS |
|
|
Image Classification (Q)
|
100% |
9873
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6597
107.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4110
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11710
189.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11904
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10471
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27401
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
3979
315.6 IPS |
|
|
Object Detection (HP)
|
100% |
5286
419.3 IPS |
|
|
Object Detection (Q)
|
88% |
10339
828.8 IPS |
|
|
Face Detection (SP)
|
100% |
12871
152.9 IPS |
|
|
Face Detection (HP)
|
100% |
12934
153.7 IPS |
|
|
Face Detection (Q)
|
100% |
26910
319.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11345
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11977
92.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26484
205.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31225
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28909
37.2 IPS |
|
|
Style Transfer (Q)
|
98% |
76496
98.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6726
248.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14919
552.5 IPS |
|
|
Text Classification (SP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2804
3.74 KIPS |
|
|
Text Classification (Q)
|
92% |
5819
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5857
100.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3129
53.9 IPS |
