LENOVO 81T0
Geekbench AI Score
4704
Single Precision Score
5153
Half Precision Score
3588
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jordan147 |
| Upload Date | December 14 2024 11:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
1915
356.1 IPS |
|
|
Image Classification (HP)
|
100% |
2059
382.8 IPS |
|
|
Image Classification (Q)
|
99% |
1741
324.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3224
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3464
56.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2504
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16535
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16712
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14789
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
3152
250.0 IPS |
|
|
Object Detection (Q)
|
83% |
2158
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
4864
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
5987
71.1 IPS |
|
|
Face Detection (Q)
|
97% |
4452
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10342
79.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12004
92.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
8856
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31878
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33283
42.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27124
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6485
239.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6784
250.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4608
170.6 IPS |
|
|
Text Classification (SP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
694
930.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1802
31.1 IPS |
|
|
Machine Translation (Q)
|
70% |
745
14.0 IPS |
