LENOVO 21AK0013MX
Geekbench AI Score
2452
Single Precision Score
997
Half Precision Score
3800
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AgenttiX |
| Upload Date | April 09 2025 07:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21AK0013MX |
| Motherboard | LENOVO 21AK0013MX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1886
350.8 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
99% |
3621
675.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1930
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2761
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2042
2.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
12435
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
86% |
3562
286.3 IPS |
|
|
Face Detection (SP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
6450
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5200
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9815
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9267
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6110
7.85 IPS |
|
|
Style Transfer (Q)
|
98% |
13565
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2766
102.4 IPS |
|
|
Text Classification (SP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
515
687.9 IPS |
|
|
Text Classification (Q)
|
97% |
425
569.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
65% |
2011
40.4 IPS |
