LENOVO 83F5
Geekbench AI Score
7367
Single Precision Score
10010
Half Precision Score
15326
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | maybesid |
| Upload Date | October 06 2025 08:34 AM |
| Views | 9 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5002
930.2 IPS |
|
|
Image Classification (HP)
|
100% |
7100
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9808
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7133
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4003
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11527
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34397
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75237
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
4774
378.7 IPS |
|
|
Object Detection (HP)
|
100% |
6200
491.8 IPS |
|
|
Object Detection (Q)
|
87% |
10158
815.3 IPS |
|
|
Face Detection (SP)
|
100% |
14216
168.9 IPS |
|
|
Face Detection (HP)
|
100% |
16968
201.6 IPS |
|
|
Face Detection (Q)
|
100% |
29048
345.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9448
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18921
145.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
34511
268.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23412
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52659
67.7 IPS |
|
|
Style Transfer (Q)
|
98% |
96057
123.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5552
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14396
531.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26172
969.2 IPS |
|
|
Text Classification (SP)
|
100% |
3840
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2125
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4438
76.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4451
76.7 IPS |
