iPad (6th generation)
Geekbench AI Score
344
Single Precision Score
322
Half Precision Score
224
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jyh12923 |
| Upload Date | February 03 2025 02:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.4 |
| 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% |
193
35.9 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
96% |
99
18.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
121
1.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
917
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
873
1.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
670
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (Q)
|
92% |
105
8.40 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
100% |
162
1.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
488
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
461
3.55 IPS |
|
|
Depth Estimation (Q)
|
86% |
308
2.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1447
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1429
1.84 IPS |
|
|
Style Transfer (Q)
|
96% |
1098
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
413
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
214
7.91 IPS |
|
|
Text Classification (SP)
|
100% |
185
247.1 IPS |
|
|
Text Classification (HP)
|
100% |
147
196.8 IPS |
|
|
Text Classification (Q)
|
93% |
148
199.1 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (Q)
|
98% |
221
3.81 IPS |
