iPad Air (5th generation)
Geekbench AI Score
5297
Single Precision Score
6131
Half Precision Score
5955
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 10:00 AM |
| Views | 1 |
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% |
2397
445.7 IPS |
|
|
Image Classification (HP)
|
100% |
2458
457.1 IPS |
|
|
Image Classification (Q)
|
96% |
2053
383.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4340
70.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4144
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16935
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18884
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18223
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (Q)
|
92% |
2486
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
6827
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8555
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
7037
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12661
97.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14194
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12903
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29008
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35307
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34290
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6383
235.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7082
261.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6013
222.0 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4198
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4172
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1865
32.2 IPS |
