LENOVO 83F5
Geekbench AI Score
35812
Single Precision Score
60791
Half Precision Score
27517
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 1ikhan |
| Upload Date | August 29 2025 03:18 AM |
| Views | 7 |
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% |
14334
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
21845
4.06 KIPS |
|
|
Image Classification (Q)
|
100% |
12579
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27433
444.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
39138
634.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
24721
402.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
223829
261.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
668842
780.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
188212
220.5 IPS |
|
|
Object Detection (SP)
|
100% |
18454
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
28278
2.24 KIPS |
|
|
Object Detection (Q)
|
86% |
16140
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
52612
625.1 IPS |
|
|
Face Detection (HP)
|
100% |
77875
925.3 IPS |
|
|
Face Detection (Q)
|
97% |
43902
523.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
84949
654.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
173069
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65683
524.5 IPS |
|
|
Style Transfer (SP)
|
100% |
320197
411.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1043263
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
286167
369.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50066
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83099
3.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39922
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
4169
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5187
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2569
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
7153
123.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7034
121.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3114
58.4 IPS |
