iPad Air (5th generation)
Geekbench AI Score
3059
Single Precision Score
5330
Half Precision Score
4412
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
2138
397.7 IPS |
|
|
Image Classification (Q)
|
96% |
1531
285.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2503
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6007
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14092
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12133
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.5 IPS |
|
|
Object Detection (HP)
|
97% |
2352
187.2 IPS |
|
|
Object Detection (Q)
|
94% |
1753
139.7 IPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5381
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3142
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5430
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10275
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7292
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26201
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21826
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4602
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4132
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4169
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4723
81.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4697
81.2 IPS |
