LENOVO 83F5
Geekbench AI Score
29445
Single Precision Score
51147
Half Precision Score
22848
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 10:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
12006
2.23 KIPS |
|
|
Image Classification (HP)
|
100% |
19442
3.62 KIPS |
|
|
Image Classification (Q)
|
100% |
10918
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22887
371.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34804
564.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20418
332.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
160030
186.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
450302
525.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
140715
164.8 IPS |
|
|
Object Detection (SP)
|
100% |
14895
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
25791
2.05 KIPS |
|
|
Object Detection (Q)
|
86% |
12577
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
44443
528.1 IPS |
|
|
Face Detection (HP)
|
100% |
65553
778.9 IPS |
|
|
Face Detection (Q)
|
97% |
37268
444.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
72046
555.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
126548
975.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
55941
446.9 IPS |
|
|
Style Transfer (SP)
|
100% |
258402
332.2 IPS |
|
|
Style Transfer (HP)
|
100% |
867600
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
222267
286.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40609
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70359
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32809
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4769
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2189
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
6254
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6456
111.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2954
55.4 IPS |
