iPad Air (5th generation)
Geekbench AI Score
5222
Single Precision Score
6182
Half Precision Score
5689
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 10:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (HP)
|
100% |
2454
456.3 IPS |
|
|
Image Classification (Q)
|
96% |
2265
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4065
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4329
70.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4133
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16842
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19048
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18225
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2672
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (Q)
|
92% |
2533
202.2 IPS |
|
|
Face Detection (SP)
|
100% |
6877
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
8682
103.2 IPS |
|
|
Face Detection (Q)
|
100% |
7355
87.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12423
95.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14101
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12751
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28904
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35067
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33189
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6313
233.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7341
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5975
220.6 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4184
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4171
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1061
18.3 IPS |
