iPad Air (5th generation)
Geekbench AI Score
3090
Single Precision Score
14179
Half Precision Score
11311
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 04:07 PM |
| Views | 7 |
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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
5527
1.03 KIPS |
|
|
Image Classification (Q)
|
96% |
5565
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8916
144.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9068
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6004
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
64832
75.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
64413
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
6646
528.7 IPS |
|
|
Object Detection (Q)
|
91% |
5957
476.0 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
12196
144.9 IPS |
|
|
Face Detection (Q)
|
100% |
11619
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5472
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46122
355.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
5574
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16332
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119039
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
110761
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3464
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22779
841.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22697
838.1 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4264
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4228
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2573
44.5 IPS |
