LENOVO 81T0
Geekbench AI Score
2818
Single Precision Score
2819
Half Precision Score
4200
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jordan147 |
| Upload Date | December 14 2024 11:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 81T0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Advanced SystemCare |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1815
337.6 IPS |
|
|
Image Classification (HP)
|
100% |
1844
343.0 IPS |
|
|
Image Classification (Q)
|
100% |
2803
521.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3142
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3580
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
6567
7.70 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (Q)
|
87% |
2849
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (Q)
|
97% |
7614
90.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4615
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4721
36.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
7529
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10418
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10534
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19115
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2200
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3962
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
1826
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (Q)
|
91% |
992
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2667
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2526
43.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2410
41.5 IPS |
