LENOVO 83L0
Geekbench AI Score
16186
Single Precision Score
31589
Half Precision Score
13082
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 01:24 PM |
| Views | 9 |
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% |
6724
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
12955
2.41 KIPS |
|
|
Image Classification (Q)
|
99% |
6359
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12153
197.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20455
331.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11341
184.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
68612
80.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
237347
276.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
68680
80.4 IPS |
|
|
Object Detection (SP)
|
100% |
8520
675.8 IPS |
|
|
Object Detection (HP)
|
100% |
15600
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
7713
619.0 IPS |
|
|
Face Detection (SP)
|
100% |
22123
262.9 IPS |
|
|
Face Detection (HP)
|
100% |
37078
440.6 IPS |
|
|
Face Detection (Q)
|
97% |
20099
239.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38396
295.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
82887
638.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
32304
258.3 IPS |
|
|
Style Transfer (SP)
|
100% |
110367
141.9 IPS |
|
|
Style Transfer (HP)
|
100% |
390768
502.3 IPS |
|
|
Style Transfer (Q)
|
98% |
94651
122.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21897
808.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43383
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17332
641.8 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3814
5.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1837
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5076
87.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1964
36.8 IPS |
