LENOVO 82SB
Geekbench AI Score
2324
Single Precision Score
722
Half Precision Score
2674
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Katsumis |
| Upload Date | August 31 2024 08:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 6600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 82SB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
97% |
2651
494.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
1753
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5102
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (Q)
|
87% |
9880
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1619
128.4 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
86% |
1588
127.7 IPS |
|
|
Face Detection (SP)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
96% |
2850
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5276
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
962
7.41 IPS |
|
|
Depth Estimation (Q)
|
76% |
4815
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11633
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9762
12.5 IPS |
|
|
Style Transfer (Q)
|
87% |
11914
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2426
89.9 IPS |
|
|
Text Classification (SP)
|
100% |
1847
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
722
964.2 IPS |
|
|
Text Classification (Q)
|
97% |
427
571.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (Q)
|
60% |
1514
33.8 IPS |
