LENOVO 81YM
Geekbench AI Score
1889
Single Precision Score
2525
Half Precision Score
1488
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81YM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4700U |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
474
88.1 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.3 IPS |
|
|
Image Classification (Q)
|
99% |
722
134.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
551
8.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
8613
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15440
18.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
7164
8.39 IPS |
|
|
Object Detection (SP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (HP)
|
100% |
1105
87.6 IPS |
|
|
Object Detection (Q)
|
89% |
742
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
1467
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4343
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6839
52.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
3402
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15168
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23501
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11872
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3082
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2165
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
654
873.4 IPS |
|
|
Text Classification (HP)
|
100% |
703
938.3 IPS |
|
|
Text Classification (Q)
|
97% |
449
601.0 IPS |
|
|
Machine Translation (SP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
60% |
439
9.89 IPS |
