LENOVO 82JQ
Geekbench AI Score
3208
Single Precision Score
4422
Half Precision Score
2293
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Petenka315 |
| Upload Date | October 18 2024 03:29 PM |
| Views | 5 |
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 82JQ |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
1594
296.4 IPS |
|
|
Image Classification (Q)
|
99% |
1024
190.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1209
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13292
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
23961
28.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
10650
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
1769
140.3 IPS |
|
|
Object Detection (Q)
|
89% |
1144
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (Q)
|
97% |
2084
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7342
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10795
83.2 IPS |
|
|
Depth Estimation (Q)
|
72% |
5278
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22807
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37766
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17652
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4653
171.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7078
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3101
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
696
932.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (Q)
|
60% |
637
14.4 IPS |
