iPad Air (5th generation)
Geekbench AI Score
3081
Single Precision Score
14165
Half Precision Score
13958
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 11:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
5834
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5509
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8908
144.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9086
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6017
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
65419
76.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64542
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
6375
507.1 IPS |
|
|
Object Detection (Q)
|
91% |
5944
475.0 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
13002
154.5 IPS |
|
|
Face Detection (Q)
|
100% |
11896
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5428
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41878
322.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46241
361.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16489
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119418
153.5 IPS |
|
|
Style Transfer (Q)
|
96% |
110720
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3458
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22852
843.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23043
850.9 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4179
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4218
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2418
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2471
42.7 IPS |
