iPad (6th generation)
Geekbench AI Score
421
Single Precision Score
19
Half Precision Score
19
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | daviangel |
| Upload Date | November 16 2025 07:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.10 |
| 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% |
258
48.0 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.75 IPS |
|
|
Image Classification (Q)
|
96% |
9
1.64 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
12
0.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
11
0.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
916
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
13
0.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
13
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
99% |
8
0.65 IPS |
|
|
Object Detection (Q)
|
93% |
8
0.64 IPS |
|
|
Face Detection (SP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (HP)
|
100% |
28
0.34 IPS |
|
|
Face Detection (Q)
|
100% |
27
0.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
550
4.24 IPS |
|
|
Depth Estimation (HP)
|
98% |
20
0.15 IPS |
|
|
Depth Estimation (Q)
|
85% |
19
0.15 IPS |
|
|
Style Transfer (SP)
|
100% |
1612
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
42
0.05 IPS |
|
|
Style Transfer (Q)
|
96% |
42
0.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9
0.33 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9
0.32 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.1 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.4 IPS |
|
|
Text Classification (Q)
|
93% |
179
240.1 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (HP)
|
96% |
21
0.37 IPS |
|
|
Machine Translation (Q)
|
98% |
21
0.37 IPS |
