iPad (6th generation)
Geekbench AI Score
419
Single Precision Score
20
Half Precision Score
19
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Joj |
| Upload Date | March 04 2026 02:34 PM |
| Views | 6 |
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 | iPad7,6 |
| Motherboard | J72bAP |
| 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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.76 IPS |
|
|
Image Classification (Q)
|
96% |
9
1.71 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
13
0.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
12
0.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
945
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
14
0.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
13
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
99% |
8
0.63 IPS |
|
|
Object Detection (Q)
|
93% |
8
0.63 IPS |
|
|
Face Detection (SP)
|
100% |
446
5.29 IPS |
|
|
Face Detection (HP)
|
100% |
29
0.34 IPS |
|
|
Face Detection (Q)
|
100% |
27
0.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
547
4.21 IPS |
|
|
Depth Estimation (HP)
|
98% |
20
0.15 IPS |
|
|
Depth Estimation (Q)
|
85% |
18
0.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1537
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
42
0.05 IPS |
|
|
Style Transfer (Q)
|
96% |
43
0.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9
0.33 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9
0.32 IPS |
|
|
Text Classification (SP)
|
100% |
196
261.4 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.4 IPS |
|
|
Text Classification (Q)
|
93% |
174
232.9 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (HP)
|
96% |
23
0.39 IPS |
|
|
Machine Translation (Q)
|
98% |
22
0.39 IPS |
