LENOVO 83F5
Geekbench AI Score
24255
Single Precision Score
44417
Half Precision Score
18721
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 11:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83F5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| 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% |
10092
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17621
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
8970
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19260
312.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31092
504.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17555
285.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
115509
134.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
358566
418.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
104623
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
12309
976.3 IPS |
|
|
Object Detection (HP)
|
100% |
21266
1.69 KIPS |
|
|
Object Detection (Q)
|
86% |
10297
827.3 IPS |
|
|
Face Detection (SP)
|
100% |
33844
402.1 IPS |
|
|
Face Detection (HP)
|
100% |
55589
660.5 IPS |
|
|
Face Detection (Q)
|
97% |
30128
359.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
54996
423.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110752
853.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
42611
340.4 IPS |
|
|
Style Transfer (SP)
|
100% |
214254
275.4 IPS |
|
|
Style Transfer (HP)
|
100% |
788648
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
184914
238.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35039
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60941
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27202
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4169
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2056
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5710
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5800
99.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2348
44.0 IPS |
