LENOVO 83L0
Geekbench AI Score
4441
Single Precision Score
10339
Half Precision Score
3638
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 06:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83L0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Lenovo PRLAB |
| 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% |
1771
329.3 IPS |
|
|
Image Classification (HP)
|
100% |
4842
900.5 IPS |
|
|
Image Classification (Q)
|
99% |
1676
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3420
55.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7396
119.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2958
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15728
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
54319
63.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
15765
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2092
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
5837
463.0 IPS |
|
|
Object Detection (Q)
|
87% |
2103
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
12604
149.8 IPS |
|
|
Face Detection (Q)
|
97% |
5423
64.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9553
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25725
198.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
8084
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24260
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
94168
121.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21008
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5346
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12695
468.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4137
153.2 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
702
940.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1940
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2117
36.5 IPS |
|
|
Machine Translation (Q)
|
70% |
924
17.3 IPS |
