DELNB16 LENOVO 21MA004UGE
Geekbench AI Score
2633
Single Precision Score
956
Half Precision Score
5162
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | June 25 2025 07:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MA004UGE |
| Motherboard | LENOVO 21MA004UGE |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.2 IPS |
|
|
Image Classification (Q)
|
99% |
4873
908.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2723
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4918
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3300
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
17659
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
86% |
5028
404.1 IPS |
|
|
Face Detection (SP)
|
100% |
5671
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
6596
78.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5242
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
824
6.35 IPS |
|
|
Depth Estimation (Q)
|
78% |
9772
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6926
8.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3885
4.99 IPS |
|
|
Style Transfer (Q)
|
98% |
15558
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1748
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3217
119.1 IPS |
|
|
Text Classification (SP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
481
641.6 IPS |
|
|
Text Classification (Q)
|
97% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2551
51.3 IPS |
