iPad (6th generation)
Geekbench AI Score
332
Single Precision Score
313
Half Precision Score
212
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 12:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.8 |
| 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% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
96% |
101
18.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
124
2.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
889
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
622
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
92% |
93
7.45 IPS |
|
|
Face Detection (SP)
|
100% |
365
4.33 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
100% |
157
1.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
434
3.35 IPS |
|
|
Depth Estimation (Q)
|
86% |
297
2.32 IPS |
|
|
Style Transfer (SP)
|
100% |
1425
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1319
1.70 IPS |
|
|
Style Transfer (Q)
|
96% |
1027
1.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
207
7.65 IPS |
|
|
Text Classification (SP)
|
100% |
141
188.0 IPS |
|
|
Text Classification (HP)
|
100% |
140
187.3 IPS |
|
|
Text Classification (Q)
|
93% |
121
162.5 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (Q)
|
98% |
219
3.78 IPS |
