LENOVO 21MMS0D401
Geekbench AI Score
1790
Single Precision Score
847
Half Precision Score
1354
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21MMS0D401 |
| Motherboard | LENOVO 21MMS0D401 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (HP)
|
0% |
0
539.1 IPS |
|
|
Image Classification (Q)
|
100% |
604
112.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4015
65.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
655
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
10362
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
5910
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
217.9 IPS |
|
|
Object Detection (Q)
|
89% |
578
46.3 IPS |
|
|
Face Detection (SP)
|
100% |
682
8.11 IPS |
|
|
Face Detection (HP)
|
100% |
4116
48.9 IPS |
|
|
Face Detection (Q)
|
97% |
604
7.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
3779
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12470
96.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
3006
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20475
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31706
40.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15506
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3852
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2589
95.9 IPS |
|
|
Text Classification (SP)
|
86% |
722
976.5 IPS |
|
|
Text Classification (HP)
|
99% |
543
724.3 IPS |
|
|
Text Classification (Q)
|
83% |
495
673.2 IPS |
|
|
Machine Translation (SP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
426
9.50 IPS |
