LENOVO 83F5
Geekbench AI Score
34582
Single Precision Score
59204
Half Precision Score
26834
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 1ikhan |
| Upload Date | August 27 2025 02:51 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% |
13439
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
21029
3.91 KIPS |
|
|
Image Classification (Q)
|
100% |
12207
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26366
427.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37775
612.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23826
387.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
219288
255.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
659409
769.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
186606
218.6 IPS |
|
|
Object Detection (SP)
|
100% |
17974
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
27264
2.16 KIPS |
|
|
Object Detection (Q)
|
86% |
15454
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
51298
609.5 IPS |
|
|
Face Detection (HP)
|
100% |
77055
915.6 IPS |
|
|
Face Detection (Q)
|
97% |
43130
514.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
84445
650.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
169856
1.31 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65202
520.7 IPS |
|
|
Style Transfer (SP)
|
100% |
306038
393.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1007406
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
273800
353.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48724
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81151
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38616
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5001
6.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2513
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6974
120.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6924
119.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3089
57.9 IPS |
