iPad Air (5th generation)
Geekbench AI Score
3199
Single Precision Score
15716
Half Precision Score
15374
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 04:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
6225
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5848
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9627
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10126
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68000
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66721
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
99% |
7264
577.9 IPS |
|
|
Object Detection (Q)
|
91% |
6678
533.6 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16345
194.2 IPS |
|
|
Face Detection (Q)
|
100% |
15316
182.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47248
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47592
371.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16953
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120838
155.3 IPS |
|
|
Style Transfer (Q)
|
96% |
112040
144.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23457
866.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23885
882.0 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3632
62.8 IPS |
