LENOVO 21M7003AUS
Geekbench AI Score
2837
Single Precision Score
4926
Half Precision Score
7442
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | allythomas97 |
| Upload Date | February 28 2025 08:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21M7003AUS |
| Motherboard | LENOVO 21M7003AUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| 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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
3152
586.1 IPS |
|
|
Image Classification (Q)
|
100% |
4486
834.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4027
65.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6913
112.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5765
6.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
7199
8.43 IPS |
|
|
Pose Estimation (Q)
|
97% |
20697
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
3064
243.0 IPS |
|
|
Object Detection (Q)
|
88% |
5168
414.1 IPS |
|
|
Face Detection (SP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
8918
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
13234
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5203
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12740
98.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16101
125.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16671
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25489
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33785
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2977
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5524
204.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9415
348.7 IPS |
|
|
Text Classification (SP)
|
71% |
1033
1.49 KIPS |
|
|
Text Classification (HP)
|
71% |
1390
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
1748
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1352
23.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1326
22.8 IPS |
