LENOVO 83F5
Geekbench AI Score
35208
Single Precision Score
60424
Half Precision Score
27139
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 1ikhan |
| Upload Date | August 29 2025 12:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14136
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
21292
3.96 KIPS |
|
|
Image Classification (Q)
|
100% |
12438
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26765
433.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
38210
619.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23910
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
220740
257.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
662446
773.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
184669
216.3 IPS |
|
|
Object Detection (SP)
|
100% |
18306
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
28120
2.23 KIPS |
|
|
Object Detection (Q)
|
86% |
15912
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
52472
623.5 IPS |
|
|
Face Detection (HP)
|
100% |
78794
936.2 IPS |
|
|
Face Detection (Q)
|
97% |
44288
528.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
85446
658.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
171513
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65950
526.6 IPS |
|
|
Style Transfer (SP)
|
100% |
313391
402.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1030807
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
274643
354.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49816
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83176
3.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38990
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5200
6.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2538
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
7022
121.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7106
122.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3125
58.6 IPS |
