iPad (6th generation)
Geekbench AI Score
361
Single Precision Score
338
Half Precision Score
235
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jyh12923 |
| Upload Date | February 03 2025 12:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
96% |
102
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
132
2.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
993
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
947
1.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
709
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
92% |
108
8.61 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
403
4.79 IPS |
|
|
Face Detection (Q)
|
100% |
178
2.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
490
3.78 IPS |
|
|
Depth Estimation (Q)
|
86% |
322
2.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1531
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1498
1.93 IPS |
|
|
Style Transfer (Q)
|
96% |
1149
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
232
8.57 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.8 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.4 IPS |
|
|
Text Classification (Q)
|
93% |
138
185.5 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (Q)
|
98% |
238
4.12 IPS |
