LENOVO 83E3
Geekbench AI Score
9734
Single Precision Score
17692
Half Precision Score
6632
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | August 15 2025 11:21 AM |
| Views | 13 |
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 83E3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3966
737.6 IPS |
|
|
Image Classification (HP)
|
99% |
7484
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
3172
591.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6315
102.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11013
178.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5013
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
41949
48.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
128496
149.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
35700
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
4936
391.5 IPS |
|
|
Object Detection (HP)
|
100% |
9726
771.4 IPS |
|
|
Object Detection (Q)
|
84% |
3819
308.1 IPS |
|
|
Face Detection (SP)
|
100% |
10260
121.9 IPS |
|
|
Face Detection (HP)
|
100% |
18156
215.7 IPS |
|
|
Face Detection (Q)
|
97% |
8229
98.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22806
175.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45857
354.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
15696
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
73331
94.3 IPS |
|
|
Style Transfer (HP)
|
100% |
185552
238.5 IPS |
|
|
Style Transfer (Q)
|
98% |
57560
74.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14113
521.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24615
908.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8304
307.5 IPS |
|
|
Text Classification (SP)
|
100% |
2017
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
2438
3.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1058
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3016
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1163
21.8 IPS |
