LENOVO 83F5
Geekbench AI Score
8653
Single Precision Score
10472
Half Precision Score
16227
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83F5 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5722
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
7449
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10258
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6495
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3588
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13506
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
35306
41.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
75561
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
5398
428.2 IPS |
|
|
Object Detection (HP)
|
100% |
6223
493.6 IPS |
|
|
Object Detection (Q)
|
88% |
10546
845.5 IPS |
|
|
Face Detection (SP)
|
100% |
15480
183.9 IPS |
|
|
Face Detection (HP)
|
100% |
18318
217.7 IPS |
|
|
Face Detection (Q)
|
100% |
34397
408.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12038
92.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19197
147.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
35653
277.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35113
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55463
71.3 IPS |
|
|
Style Transfer (Q)
|
98% |
101430
130.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8302
306.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16275
601.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31822
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2227
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4899
84.4 IPS |
