iPad Air (5th generation)
Geekbench AI Score
3232
Single Precision Score
14911
Half Precision Score
14537
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
5863
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5912
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8846
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9346
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
66787
77.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
64422
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
7182
571.3 IPS |
|
|
Object Detection (Q)
|
91% |
6421
513.0 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
13363
158.8 IPS |
|
|
Face Detection (Q)
|
100% |
13337
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5637
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46331
357.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
45649
356.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16985
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120098
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111066
143.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24208
893.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23652
873.4 IPS |
|
|
Text Classification (SP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4221
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4373
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2875
49.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2638
45.6 IPS |
