LENOVO 83F5
Geekbench AI Score
35657
Single Precision Score
60589
Half Precision Score
27469
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 1ikhan |
| Upload Date | August 29 2025 01:13 AM |
| Views | 3 |
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% |
14066
2.62 KIPS |
|
|
Image Classification (HP)
|
100% |
21590
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
12663
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27317
442.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
38873
630.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24572
399.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
223238
260.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
663344
774.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
189306
221.7 IPS |
|
|
Object Detection (SP)
|
100% |
18335
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
27932
2.22 KIPS |
|
|
Object Detection (Q)
|
86% |
15959
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
52527
624.1 IPS |
|
|
Face Detection (HP)
|
100% |
77698
923.2 IPS |
|
|
Face Detection (Q)
|
97% |
43935
523.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
85462
658.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
173183
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66314
529.6 IPS |
|
|
Style Transfer (SP)
|
100% |
321261
413.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1044510
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
282554
364.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49855
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82305
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39281
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4169
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5190
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2543
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
7049
121.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7142
123.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3164
59.3 IPS |
