iPad Air (5th generation)
Geekbench AI Score
3058
Single Precision Score
5333
Half Precision Score
4417
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | antoniordo |
| Upload Date | September 28 2025 08:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1289
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
2145
398.8 IPS |
|
|
Image Classification (Q)
|
96% |
1542
287.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2518
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6004
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14113
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12124
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
97% |
2361
188.0 IPS |
|
|
Object Detection (Q)
|
94% |
1754
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3131
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5407
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10266
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7299
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16479
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26162
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21792
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3462
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4583
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3517
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4153
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4118
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4734
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4752
82.1 IPS |
