iPad Air (5th generation)
Geekbench AI Score
5246
Single Precision Score
6027
Half Precision Score
5668
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2357
438.4 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
96% |
2352
439.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4011
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4274
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4120
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16854
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18935
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18271
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (Q)
|
92% |
2473
197.4 IPS |
|
|
Face Detection (SP)
|
100% |
6796
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8501
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
7048
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12464
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13825
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12744
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28861
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35359
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33951
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6327
233.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5850
216.0 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4111
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1066
18.4 IPS |
