LENOVO 83L0
Geekbench AI Score
5426
Single Precision Score
11913
Half Precision Score
3849
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | topgun966 |
| Upload Date | October 30 2025 02:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83L0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5975
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
11479
2.13 KIPS |
|
|
Image Classification (Q)
|
99% |
1801
336.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3649
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8190
132.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3180
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17739
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
59743
69.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
15788
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
6308
500.3 IPS |
|
|
Object Detection (Q)
|
87% |
2226
178.7 IPS |
|
|
Face Detection (SP)
|
100% |
6554
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
13675
162.5 IPS |
|
|
Face Detection (Q)
|
97% |
5818
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10279
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27047
208.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
8776
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28057
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
105500
135.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24396
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13346
492.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4716
174.6 IPS |
|
|
Text Classification (SP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (Q)
|
97% |
709
949.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2024
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (Q)
|
70% |
853
16.0 IPS |
