LENOVO 83F5
Geekbench AI Score
7755
Single Precision Score
7878
Half Precision Score
14368
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | maybesid |
| Upload Date | October 06 2025 08:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
4801
892.9 IPS |
|
|
Image Classification (HP)
|
100% |
5422
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
9460
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6717
108.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3806
61.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11042
179.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11201
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9831
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23338
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4898
388.5 IPS |
|
|
Object Detection (HP)
|
100% |
5751
456.1 IPS |
|
|
Object Detection (Q)
|
88% |
10016
802.9 IPS |
|
|
Face Detection (SP)
|
100% |
14131
167.9 IPS |
|
|
Face Detection (HP)
|
100% |
16598
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
26129
310.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12660
97.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14061
108.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26734
207.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26575
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22966
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
73855
95.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6724
248.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7142
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15182
562.2 IPS |
|
|
Text Classification (SP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (Q)
|
92% |
6004
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6765
116.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3267
56.3 IPS |
