LENOVO 83AL
Geekbench AI Score
7447
Single Precision Score
15340
Half Precision Score
5256
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | crs_tzep |
| Upload Date | July 01 2025 03:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83AL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3209
596.7 IPS |
|
|
Image Classification (HP)
|
99% |
6961
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
2623
489.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4702
76.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8871
143.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3899
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29432
34.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
111467
130.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25049
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
3653
289.8 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
84% |
2983
240.6 IPS |
|
|
Face Detection (SP)
|
100% |
7088
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
13764
163.5 IPS |
|
|
Face Detection (Q)
|
97% |
6122
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15316
118.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37193
286.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
11882
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
52480
67.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164284
211.2 IPS |
|
|
Style Transfer (Q)
|
98% |
42545
54.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10582
390.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20997
775.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6630
245.5 IPS |
|
|
Text Classification (SP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
986
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2733
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2900
49.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1041
19.5 IPS |
