LENOVO 83DX
Geekbench AI Score
14287
Single Precision Score
24662
Half Precision Score
11456
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 05:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5753
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
10507
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
5239
977.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10527
170.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15769
255.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9616
156.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
71060
82.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
221265
258.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
60746
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
7377
585.1 IPS |
|
|
Object Detection (HP)
|
100% |
11813
937.0 IPS |
|
|
Object Detection (Q)
|
84% |
6412
517.1 IPS |
|
|
Face Detection (SP)
|
100% |
15803
187.8 IPS |
|
|
Face Detection (HP)
|
100% |
26786
318.3 IPS |
|
|
Face Detection (Q)
|
97% |
14823
176.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32792
252.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
69104
532.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
27765
222.1 IPS |
|
|
Style Transfer (SP)
|
100% |
120284
154.6 IPS |
|
|
Style Transfer (HP)
|
100% |
303526
390.2 IPS |
|
|
Style Transfer (Q)
|
98% |
103998
134.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23754
877.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37323
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17809
659.5 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3674
63.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1727
32.4 IPS |
