LENOVO 83F5
Geekbench AI Score
35639
Single Precision Score
61081
Half Precision Score
27519
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 1ikhan |
| Upload Date | August 29 2025 03:14 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% |
14227
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
21686
4.03 KIPS |
|
|
Image Classification (Q)
|
100% |
12739
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27033
438.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
38388
622.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24343
395.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
221099
258.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
676187
789.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
187916
220.1 IPS |
|
|
Object Detection (SP)
|
100% |
18409
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
28754
2.28 KIPS |
|
|
Object Detection (Q)
|
86% |
16244
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
52815
627.6 IPS |
|
|
Face Detection (HP)
|
100% |
79774
947.9 IPS |
|
|
Face Detection (Q)
|
97% |
44340
528.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
85220
656.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
173885
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65584
523.7 IPS |
|
|
Style Transfer (SP)
|
100% |
317510
408.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1050391
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
282861
364.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49528
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84072
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39509
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4184
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5189
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2578
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
7131
122.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7027
121.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3141
58.9 IPS |
