LENOVO 21MMS0D401
Geekbench AI Score
1784
Single Precision Score
839
Half Precision Score
1359
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:27 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% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
0% |
0
540.6 IPS |
|
|
Image Classification (Q)
|
100% |
613
113.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4037
65.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
657
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6851
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
10520
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5925
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
219.8 IPS |
|
|
Object Detection (Q)
|
89% |
585
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (HP)
|
100% |
4114
48.9 IPS |
|
|
Face Detection (Q)
|
97% |
605
7.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
3763
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12287
94.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
3018
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20558
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32240
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15386
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4905
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2569
95.1 IPS |
|
|
Text Classification (SP)
|
86% |
722
976.7 IPS |
|
|
Text Classification (HP)
|
99% |
543
724.7 IPS |
|
|
Text Classification (Q)
|
83% |
503
684.1 IPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
60% |
425
9.48 IPS |
