iPad (6th generation)
Geekbench AI Score
214
Single Precision Score
203
Half Precision Score
154
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 10:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
96% |
72
13.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
108
1.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
91
1.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
387
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.87 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.54 IPS |
|
|
Object Detection (Q)
|
92% |
73
5.84 IPS |
|
|
Face Detection (SP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.02 IPS |
|
|
Face Detection (Q)
|
100% |
127
1.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
276
2.12 IPS |
|
|
Depth Estimation (Q)
|
86% |
207
1.62 IPS |
|
|
Style Transfer (SP)
|
100% |
734
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
719
0.92 IPS |
|
|
Style Transfer (Q)
|
96% |
629
0.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
224
8.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
225
8.31 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
145
5.37 IPS |
|
|
Text Classification (SP)
|
100% |
113
150.4 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.3 IPS |
|
|
Text Classification (Q)
|
93% |
98
131.2 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (HP)
|
100% |
178
3.06 IPS |
|
|
Machine Translation (Q)
|
98% |
177
3.06 IPS |
