LENOVO 81SX
Geekbench AI Score
189
Single Precision Score
189
Half Precision Score
179
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 01 2025 05:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | LENOVO 81SX |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
73
13.5 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.4 IPS |
|
|
Image Classification (Q)
|
99% |
68
12.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
252
4.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
1008
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1007
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1037
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.38 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.44 IPS |
|
|
Object Detection (Q)
|
85% |
103
8.33 IPS |
|
|
Face Detection (SP)
|
100% |
381
4.53 IPS |
|
|
Face Detection (HP)
|
100% |
381
4.53 IPS |
|
|
Face Detection (Q)
|
97% |
347
4.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
399
3.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
399
3.07 IPS |
|
|
Depth Estimation (Q)
|
63% |
317
2.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1603
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1600
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
2204
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
214
7.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
222
8.21 IPS |
|
|
Text Classification (SP)
|
100% |
14
18.8 IPS |
|
|
Text Classification (HP)
|
100% |
14
18.5 IPS |
|
|
Text Classification (Q)
|
92% |
15
19.5 IPS |
|
|
Machine Translation (SP)
|
100% |
33
0.56 IPS |
|
|
Machine Translation (HP)
|
100% |
32
0.56 IPS |
|
|
Machine Translation (Q)
|
58% |
24
0.56 IPS |
