Lenovo-ThinkCentre-M90q-G2-Tiny LENOVO 11MQ002HUS
Geekbench AI Score
8860
Single Precision Score
14888
Half Precision Score
6160
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | aldenyuan |
| Upload Date | March 12 2025 11:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 12GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 11MQ002HUS |
| Motherboard | LENOVO 31A5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3074
571.7 IPS |
|
|
Image Classification (HP)
|
99% |
4276
797.6 IPS |
|
|
Image Classification (Q)
|
99% |
2602
485.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5431
88.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7928
128.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4541
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45625
53.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
130354
152.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
38410
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
5715
453.3 IPS |
|
|
Object Detection (HP)
|
100% |
8804
698.3 IPS |
|
|
Object Detection (Q)
|
84% |
3538
285.4 IPS |
|
|
Face Detection (SP)
|
100% |
9838
116.9 IPS |
|
|
Face Detection (HP)
|
100% |
16188
192.4 IPS |
|
|
Face Detection (Q)
|
97% |
8394
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24085
185.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43883
339.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
17762
142.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78326
100.7 IPS |
|
|
Style Transfer (HP)
|
100% |
182700
234.9 IPS |
|
|
Style Transfer (Q)
|
98% |
64601
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12625
466.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20327
750.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8611
318.9 IPS |
|
|
Text Classification (SP)
|
100% |
1673
2.23 KIPS |
|
|
Text Classification (HP)
|
99% |
2832
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
671
899.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1747
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (Q)
|
70% |
881
16.5 IPS |
