LENOVO 83DX
Geekbench AI Score
15032
Single Precision Score
26457
Half Precision Score
11960
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | calvinh |
| Upload Date | January 22 2025 06:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6285
1.17 KIPS |
|
|
Image Classification (HP)
|
99% |
11473
2.14 KIPS |
|
|
Image Classification (Q)
|
99% |
5744
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10348
167.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14711
238.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9507
154.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
68082
79.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
222051
259.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
60394
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
7585
601.6 IPS |
|
|
Object Detection (HP)
|
100% |
13164
1.04 KIPS |
|
|
Object Detection (Q)
|
84% |
6691
539.6 IPS |
|
|
Face Detection (SP)
|
100% |
17139
203.6 IPS |
|
|
Face Detection (HP)
|
100% |
28906
343.5 IPS |
|
|
Face Detection (Q)
|
97% |
15375
183.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33004
254.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71048
547.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
27936
223.5 IPS |
|
|
Style Transfer (SP)
|
100% |
117637
151.2 IPS |
|
|
Style Transfer (HP)
|
100% |
311691
400.7 IPS |
|
|
Style Transfer (Q)
|
98% |
106068
136.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25416
938.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40685
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18533
686.3 IPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3555
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1859
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1730
32.4 IPS |
