LENOVO 83F5
Geekbench AI Score
7119
Single Precision Score
2487
Half Precision Score
11322
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | andreicr1 |
| Upload Date | August 14 2025 04:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
5753
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
875
162.7 IPS |
|
|
Image Classification (Q)
|
99% |
9488
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2830
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17277
280.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15149
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7926
9.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
48705
57.1 IPS |
|
|
Object Detection (SP)
|
100% |
5299
420.3 IPS |
|
|
Object Detection (HP)
|
100% |
1144
90.7 IPS |
|
|
Object Detection (Q)
|
86% |
12030
966.8 IPS |
|
|
Face Detection (SP)
|
100% |
15851
188.3 IPS |
|
|
Face Detection (HP)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
13681
163.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16169
124.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3508
27.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23923
190.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32537
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20716
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31199
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5481
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3130
115.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5558
205.8 IPS |
|
|
Text Classification (SP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1473
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4314
86.7 IPS |
