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 06:18 PM |
| Views | 4 |
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% |
72
13.5 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.5 IPS |
|
|
Image Classification (Q)
|
99% |
69
12.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
252
4.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
1009
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1012
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1046
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.45 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.38 IPS |
|
|
Object Detection (Q)
|
85% |
104
8.37 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (Q)
|
97% |
348
4.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
399
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
397
3.06 IPS |
|
|
Depth Estimation (Q)
|
63% |
314
2.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1608
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1611
2.07 IPS |
|
|
Style Transfer (Q)
|
98% |
2214
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
215
7.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
222
8.24 IPS |
|
|
Text Classification (SP)
|
100% |
14
18.9 IPS |
|
|
Text Classification (HP)
|
100% |
14
18.3 IPS |
|
|
Text Classification (Q)
|
92% |
14
19.5 IPS |
|
|
Machine Translation (SP)
|
100% |
33
0.56 IPS |
|
|
Machine Translation (HP)
|
100% |
33
0.57 IPS |
|
|
Machine Translation (Q)
|
58% |
24
0.56 IPS |
