LENOVO 83F5
Geekbench AI Score
8962
Single Precision Score
10129
Half Precision Score
15556
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | andreicr1 |
| Upload Date | August 14 2025 04:28 AM |
| Views | 7 |
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 |
| 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% |
5984
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
7066
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9910
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8309
134.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3992
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13910
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34326
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75314
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
5572
442.0 IPS |
|
|
Object Detection (HP)
|
100% |
6207
492.3 IPS |
|
|
Object Detection (Q)
|
87% |
10204
819.0 IPS |
|
|
Face Detection (SP)
|
100% |
16392
194.8 IPS |
|
|
Face Detection (HP)
|
100% |
17515
208.1 IPS |
|
|
Face Detection (Q)
|
100% |
29980
356.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12704
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19318
148.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35776
278.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32219
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53893
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
98765
127.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8373
309.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14350
529.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26193
970.0 IPS |
|
|
Text Classification (SP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2174
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4525
77.9 IPS |
