arrow ONNX CPU LENOVO 21Q1S0M501
Geekbench AI Score
1950
Single Precision Score
790
Half Precision Score
4867
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | zokkoz |
| Upload Date | September 11 2025 01:16 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21Q1S0M501 |
| Motherboard | LENOVO 21Q1S0M501 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1954
363.4 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
99% |
4353
811.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5940
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1695
1.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
11738
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (Q)
|
86% |
3388
272.3 IPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (Q)
|
97% |
6389
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4260
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1039
8.00 IPS |
|
|
Depth Estimation (Q)
|
78% |
11057
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6210
7.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2684
3.45 IPS |
|
|
Style Transfer (Q)
|
98% |
11204
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
892
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3471
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
645
861.1 IPS |
|
|
Text Classification (Q)
|
97% |
1368
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
65% |
1930
38.8 IPS |
