LENOVO 21N2ZC5NUS
Geekbench AI Score
446
Single Precision Score
9107
Half Precision Score
16605
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 06:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N2ZC5NUS |
| Motherboard | LENOVO 21N2ZC5NUS |
| Power Plan | Balanced |
| 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% |
121
22.5 IPS |
|
|
Image Classification (HP)
|
100% |
8193
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
11062
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
6437
104.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8205
133.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1311
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
68613
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
218801
256.5 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
7652
607.0 IPS |
|
|
Object Detection (Q)
|
82% |
7691
622.6 IPS |
|
|
Face Detection (SP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (HP)
|
100% |
16561
196.8 IPS |
|
|
Face Detection (Q)
|
97% |
37446
446.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
411
3.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
37157
286.3 IPS |
|
|
Depth Estimation (Q)
|
74% |
71422
580.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3601
4.63 IPS |
|
|
Style Transfer (HP)
|
23% |
2660
91.6 IPS |
|
|
Style Transfer (Q)
|
98% |
168039
216.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24797
915.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34339
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (Q)
|
95% |
2523
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (HP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (Q)
|
37% |
268
26.1 IPS |
