LENOVO 21M70031TX
Geekbench AI Score
1899
Single Precision Score
643
Half Precision Score
3143
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 07:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 21M70031TX |
| Motherboard | LENOVO 21M70031TX |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2158
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
344
64.0 IPS |
|
|
Image Classification (Q)
|
99% |
4431
826.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1872
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1231
1.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
8112
9.51 IPS |
|
|
Object Detection (SP)
|
100% |
1033
81.9 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
86% |
2331
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (Q)
|
97% |
5497
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4542
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
773
5.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
8008
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5996
7.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3540
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
11399
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1429
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1061
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2432
90.1 IPS |
|
|
Text Classification (SP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
291
388.7 IPS |
|
|
Text Classification (Q)
|
97% |
309
414.3 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.80 IPS |
|
|
Machine Translation (Q)
|
65% |
1591
32.0 IPS |
