iPad Air (5th generation)
Geekbench AI Score
5246
Single Precision Score
6078
Half Precision Score
5687
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | antoniordo |
| Upload Date | September 28 2025 08:42 PM |
| Views | 3 |
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% |
2455
456.6 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.6 IPS |
|
|
Image Classification (Q)
|
96% |
2368
442.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4025
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4310
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4127
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16860
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19100
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18203
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
2681
212.6 IPS |
|
|
Object Detection (Q)
|
92% |
2439
194.7 IPS |
|
|
Face Detection (SP)
|
100% |
6802
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8539
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
7026
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12378
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13854
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12533
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28755
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35341
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33753
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6304
232.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7182
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5882
217.2 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1139
19.7 IPS |
