LENOVO 21N1000RMB
Geekbench AI Score
626
Single Precision Score
667
Half Precision Score
1396
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | Sn0w0nS |
| Upload Date | July 11 2025 07:18 AM |
| Views | 5 |
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 21N1000RMB |
| Motherboard | LENOVO 21N1000RMB |
| Power Plan | Gebalanceerd |
| 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% |
717
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.9 IPS |
|
|
Image Classification (Q)
|
99% |
6695
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7360
119.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4344
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
1546
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (HP)
|
99% |
1725
137.2 IPS |
|
|
Object Detection (Q)
|
86% |
5335
428.8 IPS |
|
|
Face Detection (SP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (Q)
|
97% |
600
7.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
219
1.68 IPS |
|
|
Depth Estimation (HP)
|
98% |
302
2.34 IPS |
|
|
Depth Estimation (Q)
|
79% |
558
4.44 IPS |
|
|
Style Transfer (SP)
|
100% |
1772
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1868
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3035
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
238
8.80 IPS |
|
|
Text Classification (SP)
|
100% |
75
99.5 IPS |
|
|
Text Classification (HP)
|
100% |
447
596.9 IPS |
|
|
Text Classification (Q)
|
97% |
844
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
99% |
229
3.96 IPS |
|
|
Machine Translation (Q)
|
65% |
341
6.85 IPS |
