LENOVO 83F5
Geekbench AI Score
35605
Single Precision Score
60747
Half Precision Score
27460
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 1ikhan |
| Upload Date | August 29 2025 01:17 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% |
13968
2.60 KIPS |
|
|
Image Classification (HP)
|
100% |
21421
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
12557
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26895
436.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
38291
620.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24479
398.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
223769
261.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
670810
782.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
186116
218.0 IPS |
|
|
Object Detection (SP)
|
100% |
18536
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
28174
2.23 KIPS |
|
|
Object Detection (Q)
|
86% |
16173
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
53311
633.4 IPS |
|
|
Face Detection (HP)
|
100% |
79487
944.5 IPS |
|
|
Face Detection (Q)
|
97% |
44614
532.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
85536
659.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
175044
1.35 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66814
533.5 IPS |
|
|
Style Transfer (SP)
|
100% |
315997
406.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1043963
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
276105
356.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49413
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82364
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39535
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4205
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2553
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
7019
120.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7074
121.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3172
59.5 IPS |
