LENOVO 81XH
Geekbench AI Score
1168
Single Precision Score
611
Half Precision Score
1372
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 13 2024 04:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81XH |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
96% |
1249
233.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
914
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2007
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1504
1.76 IPS |
|
|
Pose Estimation (Q)
|
87% |
3725
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
86% |
799
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (Q)
|
96% |
1699
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2174
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
902
6.95 IPS |
|
|
Depth Estimation (Q)
|
77% |
2115
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4568
5.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3322
4.27 IPS |
|
|
Style Transfer (Q)
|
87% |
5588
7.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
768
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1315
48.7 IPS |
|
|
Text Classification (SP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
394
525.3 IPS |
|
|
Text Classification (Q)
|
97% |
307
410.7 IPS |
|
|
Machine Translation (SP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
60% |
860
19.2 IPS |
