LENOVO 21N2ZC5NUS
Geekbench AI Score
322
Single Precision Score
10103
Half Precision Score
18863
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 07:32 AM |
| Views | 4 |
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% |
106
19.7 IPS |
|
|
Image Classification (HP)
|
100% |
9391
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
13828
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
7041
114.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8497
138.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
67428
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
227742
266.9 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
9385
744.4 IPS |
|
|
Object Detection (Q)
|
82% |
12218
989.0 IPS |
|
|
Face Detection (SP)
|
100% |
300
3.57 IPS |
|
|
Face Detection (HP)
|
100% |
20802
247.2 IPS |
|
|
Face Detection (Q)
|
97% |
38289
456.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
370
2.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
40069
308.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
74917
608.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2731
3.51 IPS |
|
|
Style Transfer (HP)
|
23% |
2684
92.4 IPS |
|
|
Style Transfer (Q)
|
98% |
175497
226.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28155
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38485
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
192
255.7 IPS |
|
|
Text Classification (HP)
|
100% |
1772
2.36 KIPS |
|
|
Text Classification (Q)
|
95% |
2823
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
2374
40.9 IPS |
|
|
Machine Translation (Q)
|
37% |
319
31.1 IPS |
