iPad (6th generation)
Geekbench AI Score
228
Single Precision Score
217
Half Precision Score
155
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 19 2024 10:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
191
35.6 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
96% |
92
17.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
114
1.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
871
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
790
0.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
584
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (Q)
|
92% |
66
5.26 IPS |
|
|
Face Detection (SP)
|
100% |
227
2.69 IPS |
|
|
Face Detection (HP)
|
100% |
202
2.39 IPS |
|
|
Face Detection (Q)
|
100% |
111
1.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
235
1.81 IPS |
|
|
Depth Estimation (Q)
|
86% |
180
1.41 IPS |
|
|
Style Transfer (SP)
|
100% |
623
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
623
0.80 IPS |
|
|
Style Transfer (Q)
|
96% |
534
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
199
7.35 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
132
4.88 IPS |
|
|
Text Classification (SP)
|
100% |
107
142.3 IPS |
|
|
Text Classification (HP)
|
100% |
92
122.5 IPS |
|
|
Text Classification (Q)
|
93% |
92
123.2 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.70 IPS |
|
|
Machine Translation (Q)
|
98% |
156
2.70 IPS |
