LENOVO 81SX
Geekbench AI Score
174
Single Precision Score
173
Half Precision Score
150
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | August 24 2025 10:06 PM |
| Views | 9 |
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 | 2.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
69
12.8 IPS |
|
|
Image Classification (HP)
|
100% |
69
12.7 IPS |
|
|
Image Classification (Q)
|
99% |
63
11.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
192
3.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
816
0.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
720
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
100
7.93 IPS |
|
|
Object Detection (HP)
|
100% |
99
7.88 IPS |
|
|
Object Detection (Q)
|
85% |
90
7.23 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.13 IPS |
|
|
Face Detection (Q)
|
97% |
292
3.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
366
2.82 IPS |
|
|
Depth Estimation (Q)
|
63% |
271
2.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1352
1.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1350
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1531
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
204
7.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
187
6.95 IPS |
|
|
Text Classification (SP)
|
100% |
14
18.7 IPS |
|
|
Text Classification (HP)
|
100% |
14
18.9 IPS |
|
|
Text Classification (Q)
|
92% |
15
19.7 IPS |
|
|
Machine Translation (SP)
|
100% |
32
0.55 IPS |
|
|
Machine Translation (HP)
|
100% |
32
0.56 IPS |
|
|
Machine Translation (Q)
|
58% |
23
0.54 IPS |
