iPad14,6
Geekbench AI Score
3457
Single Precision Score
25366
Half Precision Score
28262
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 06:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
13846
2.57 KIPS |
|
|
Image Classification (Q)
|
96% |
14238
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18679
302.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23488
380.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
101561
118.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104368
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
14977
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16302
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
32147
382.0 IPS |
|
|
Face Detection (Q)
|
100% |
41139
488.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5665
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84710
652.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
103905
812.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18898
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201407
258.9 IPS |
|
|
Style Transfer (Q)
|
96% |
188992
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4037
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35156
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45254
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3740
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3726
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4195
72.5 IPS |
