LENOVO 82JY
Geekbench AI Score
2435
Single Precision Score
1138
Half Precision Score
3994
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 06:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 82JY |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1880
349.6 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
96% |
3842
717.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2157
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3089
3.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
9500
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
554
44.0 IPS |
|
|
Object Detection (Q)
|
58% |
2670
291.8 IPS |
|
|
Face Detection (SP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
1195
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
6402
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5577
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1701
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8518
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9838
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7929
10.2 IPS |
|
|
Style Transfer (Q)
|
87% |
14126
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2280
84.5 IPS |
|
|
Text Classification (SP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
601
801.9 IPS |
|
|
Text Classification (Q)
|
97% |
1356
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (Q)
|
68% |
2065
39.9 IPS |
