iPad (6th generation)
Geekbench AI Score
312
Single Precision Score
289
Half Precision Score
202
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Gothic_Day |
| Upload Date | December 10 2024 10:37 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.3 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
187
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
96% |
90
16.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
115
1.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
827
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (Q)
|
95% |
568
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
92% |
90
7.16 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
100% |
153
1.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
447
3.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
417
3.21 IPS |
|
|
Depth Estimation (Q)
|
86% |
284
2.22 IPS |
|
|
Style Transfer (SP)
|
100% |
1356
1.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1277
1.64 IPS |
|
|
Style Transfer (Q)
|
96% |
990
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
201
7.41 IPS |
|
|
Text Classification (SP)
|
100% |
133
177.0 IPS |
|
|
Text Classification (HP)
|
100% |
116
154.3 IPS |
|
|
Text Classification (Q)
|
93% |
122
163.1 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (Q)
|
98% |
212
3.66 IPS |
