LENOVO 20TLS0F800
Geekbench AI Score
5994
Single Precision Score
4937
Half Precision Score
4414
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | not2586 |
| Upload Date | August 20 2024 10:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 Ti with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20TLS0F800 |
| Motherboard | LENOVO 20TLS0F800 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2516
467.9 IPS |
|
|
Image Classification (HP)
|
100% |
2443
454.3 IPS |
|
|
Image Classification (Q)
|
100% |
2101
390.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3890
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3460
56.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3584
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23264
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14755
17.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
20517
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
2829
224.4 IPS |
|
|
Object Detection (HP)
|
100% |
2931
232.5 IPS |
|
|
Object Detection (Q)
|
89% |
2566
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
6117
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
5070
60.2 IPS |
|
|
Face Detection (Q)
|
97% |
4896
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14310
110.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10842
83.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
10805
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42243
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29114
37.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36979
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8632
318.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5600
207.3 IPS |
|
|
Text Classification (SP)
|
100% |
1539
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1148
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
864
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1840
31.8 IPS |
|
|
Machine Translation (Q)
|
60% |
749
16.7 IPS |
