iPad (6th generation)
Geekbench AI Score
451
Single Precision Score
21
Half Precision Score
21
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jyh12923 |
| Upload Date | February 02 2025 03:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
258
48.0 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.76 IPS |
|
|
Image Classification (Q)
|
96% |
9
1.71 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
13
0.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
12
0.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
970
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14
0.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
14
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
99% |
9
0.72 IPS |
|
|
Object Detection (Q)
|
93% |
9
0.70 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (HP)
|
100% |
31
0.37 IPS |
|
|
Face Detection (Q)
|
100% |
29
0.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
619
4.77 IPS |
|
|
Depth Estimation (HP)
|
98% |
22
0.17 IPS |
|
|
Depth Estimation (Q)
|
85% |
21
0.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1792
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
47
0.06 IPS |
|
|
Style Transfer (Q)
|
96% |
47
0.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10
0.36 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10
0.36 IPS |
|
|
Text Classification (SP)
|
100% |
225
299.8 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.8 IPS |
|
|
Text Classification (Q)
|
93% |
199
267.5 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.02 IPS |
|
|
Machine Translation (HP)
|
96% |
24
0.41 IPS |
|
|
Machine Translation (Q)
|
98% |
24
0.41 IPS |
