LENOVO 83F5
Geekbench AI Score
5663
Single Precision Score
9073
Half Precision Score
13547
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | maybesid |
| Upload Date | October 06 2025 08:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3876
720.9 IPS |
|
|
Image Classification (HP)
|
100% |
5887
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
7755
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4167
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8996
145.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11548
187.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11586
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10839
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
35033
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3616
286.8 IPS |
|
|
Object Detection (HP)
|
100% |
5708
452.8 IPS |
|
|
Object Detection (Q)
|
88% |
9545
764.9 IPS |
|
|
Face Detection (SP)
|
100% |
8361
99.3 IPS |
|
|
Face Detection (HP)
|
100% |
16553
196.7 IPS |
|
|
Face Detection (Q)
|
100% |
25596
304.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12463
96.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
21926
169.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
24765
192.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28831
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39104
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
80787
104.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9135
337.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14304
529.7 IPS |
|
|
Text Classification (SP)
|
71% |
1593
2.30 KIPS |
|
|
Text Classification (HP)
|
71% |
2438
3.53 KIPS |
|
|
Text Classification (Q)
|
92% |
2577
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3651
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3685
63.7 IPS |
