LENOVO 83F5
Geekbench AI Score
35750
Single Precision Score
60641
Half Precision Score
27499
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 1ikhan |
| Upload Date | August 29 2025 01:19 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% |
14186
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
21417
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
12675
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27105
439.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
38506
624.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24385
396.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
222780
259.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
668185
779.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
186942
219.0 IPS |
|
|
Object Detection (SP)
|
100% |
18336
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
28008
2.22 KIPS |
|
|
Object Detection (Q)
|
86% |
16017
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
53025
630.1 IPS |
|
|
Face Detection (HP)
|
100% |
79058
939.4 IPS |
|
|
Face Detection (Q)
|
97% |
44814
534.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
85450
658.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
175206
1.35 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66336
529.7 IPS |
|
|
Style Transfer (SP)
|
100% |
326630
419.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1034839
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
284558
366.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49875
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83233
3.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39679
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
4199
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5173
6.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2546
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
7005
120.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7060
121.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3127
58.7 IPS |
