iPad Air (5th generation)
Geekbench AI Score
3095
Single Precision Score
5436
Half Precision Score
4464
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 11:21 AM |
| 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% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2525
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6017
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14114
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12160
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
2417
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5453
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3185
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5479
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10434
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7384
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16506
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26279
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21938
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4584
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3489
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4289
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4302
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4680
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4677
80.8 IPS |
