LENOVO 81YM
Geekbench AI Score
2008
Single Precision Score
2802
Half Precision Score
1498
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 06:12 AM |
| 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% |
718
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
1017
189.1 IPS |
|
|
Image Classification (Q)
|
99% |
702
130.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
844
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8141
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
15715
18.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
6782
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
925
73.4 IPS |
|
|
Object Detection (HP)
|
100% |
1102
87.4 IPS |
|
|
Object Detection (Q)
|
89% |
709
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
1359
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4443
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6429
49.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
3206
25.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15196
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24656
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12204
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2912
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2047
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
654
872.4 IPS |
|
|
Text Classification (HP)
|
100% |
735
981.5 IPS |
|
|
Text Classification (Q)
|
97% |
433
580.0 IPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
60% |
426
9.60 IPS |
