LENOVO 81S9
Geekbench AI Score
838
Single Precision Score
812
Half Precision Score
622
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:23 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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
100% |
259
48.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
359
5.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
2705
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2482
2.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
2398
2.81 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
89% |
305
24.4 IPS |
|
|
Face Detection (SP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (HP)
|
100% |
624
7.42 IPS |
|
|
Face Detection (Q)
|
97% |
499
5.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
1435
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1386
10.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
1154
9.29 IPS |
|
|
Style Transfer (SP)
|
100% |
4280
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4205
5.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3757
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
916
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
358
477.5 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.7 IPS |
|
|
Text Classification (Q)
|
97% |
242
324.5 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
96% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
59% |
267
6.18 IPS |
