LENOVO 21N10008UK
Geekbench AI Score
1774
Single Precision Score
2674
Half Precision Score
4607
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | pila |
| Upload Date | April 22 2025 07:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N10008UK |
| Motherboard | LENOVO 21N10008UK |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
2719
505.6 IPS |
|
|
Image Classification (Q)
|
99% |
6296
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2219
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5603
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
8597
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
16586
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
834
66.2 IPS |
|
|
Object Detection (HP)
|
99% |
2017
160.5 IPS |
|
|
Object Detection (Q)
|
86% |
4530
364.1 IPS |
|
|
Face Detection (SP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (HP)
|
100% |
5366
63.8 IPS |
|
|
Face Detection (Q)
|
97% |
9959
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2090
16.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2450
18.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
11254
89.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15337
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7207
9.26 IPS |
|
|
Style Transfer (Q)
|
98% |
2915
3.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2146
79.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3545
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
1434
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
637
850.4 IPS |
|
|
Text Classification (Q)
|
97% |
1079
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2791
48.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3285
66.0 IPS |
