iPad Air (5th generation)
Geekbench AI Score
5281
Single Precision Score
6106
Half Precision Score
5651
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:23 AM |
| Views | 2 |
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% |
2446
454.9 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.6 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4059
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4317
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4110
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16818
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18881
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18151
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
2695
213.8 IPS |
|
|
Object Detection (Q)
|
92% |
2462
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
6828
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8473
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
7083
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12390
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14012
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
12683
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28762
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35284
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33415
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6404
236.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5985
221.0 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4201
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1042
18.0 IPS |
