LENOVO 81S9
Geekbench AI Score
834
Single Precision Score
811
Half Precision Score
617
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX110 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81S9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
305
56.8 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
100% |
257
47.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
358
5.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2480
2.89 IPS |
|
|
Pose Estimation (Q)
|
97% |
2401
2.81 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
89% |
304
24.4 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
625
7.42 IPS |
|
|
Face Detection (Q)
|
97% |
498
5.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
1434
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1386
10.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
1153
9.28 IPS |
|
|
Style Transfer (SP)
|
100% |
4275
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4208
5.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3756
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1269
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
915
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
352
470.4 IPS |
|
|
Text Classification (HP)
|
100% |
355
473.8 IPS |
|
|
Text Classification (Q)
|
97% |
229
306.4 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
96% |
668
11.6 IPS |
|
|
Machine Translation (Q)
|
59% |
264
6.11 IPS |
