LENOVO 83F5
Geekbench AI Score
7139
Single Precision Score
9933
Half Precision Score
15159
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | vuthi |
| Upload Date | September 27 2025 07:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5044
938.1 IPS |
|
|
Image Classification (HP)
|
100% |
7010
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9815
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7014
113.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3987
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10588
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34394
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75180
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
3071
243.6 IPS |
|
|
Object Detection (HP)
|
100% |
6187
490.7 IPS |
|
|
Object Detection (Q)
|
87% |
10041
805.8 IPS |
|
|
Face Detection (SP)
|
100% |
12822
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
16229
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
27243
323.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12007
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19270
148.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35140
273.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32157
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53000
68.1 IPS |
|
|
Style Transfer (Q)
|
98% |
97712
126.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6607
244.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14421
532.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25675
950.9 IPS |
|
|
Text Classification (SP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2019
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2034
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4443
76.5 IPS |
