LENOVO 82SB
Geekbench AI Score
2014
Single Precision Score
1068
Half Precision Score
2491
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 11:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 6600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82SB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
457
84.9 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
599
9.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
1582
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3042
3.55 IPS |
|
|
Pose Estimation (Q)
|
87% |
7981
9.43 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.5 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (Q)
|
86% |
1532
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
2952
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4474
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4465
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9000
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7789
10.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13002
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2180
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
549
732.8 IPS |
|
|
Text Classification (Q)
|
97% |
381
510.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1661
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (Q)
|
60% |
1481
33.0 IPS |
