LENOVO 82EY
Geekbench AI Score
1695
Single Precision Score
920
Half Precision Score
2119
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | GB6 |
| Upload Date | October 25 2024 02:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 82EY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Prestazioni eccellenti |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1007
187.2 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
96% |
1416
264.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
1657
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3420
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (Q)
|
87% |
5448
6.44 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (HP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (Q)
|
86% |
1026
82.5 IPS |
|
|
Face Detection (SP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
2429
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3957
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3463
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8609
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6815
8.76 IPS |
|
|
Style Transfer (Q)
|
87% |
8982
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1754
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
461
614.7 IPS |
|
|
Text Classification (Q)
|
97% |
889
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
60% |
1183
26.4 IPS |
