LENOVO 83F5
Geekbench AI Score
28560
Single Precision Score
49950
Half Precision Score
22244
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | gbssr |
| Upload Date | January 12 2026 12:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83F5 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11941
2.22 KIPS |
|
|
Image Classification (HP)
|
100% |
18451
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
10455
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22837
370.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
34430
558.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20061
326.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
154798
180.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
439827
513.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
135943
159.2 IPS |
|
|
Object Detection (SP)
|
100% |
14852
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
24652
1.96 KIPS |
|
|
Object Detection (Q)
|
86% |
12399
996.2 IPS |
|
|
Face Detection (SP)
|
100% |
41789
496.5 IPS |
|
|
Face Detection (HP)
|
100% |
62906
747.5 IPS |
|
|
Face Detection (Q)
|
97% |
36092
430.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
70042
539.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
130871
1.01 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54143
432.5 IPS |
|
|
Style Transfer (SP)
|
100% |
241488
310.4 IPS |
|
|
Style Transfer (HP)
|
100% |
861193
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
218788
282.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38460
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69311
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31949
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3473
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4590
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2137
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
6101
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6224
107.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2874
53.9 IPS |
