iPad Air (5th generation)
Geekbench AI Score
3217
Single Precision Score
15677
Half Precision Score
15383
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 07:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
6250
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5856
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9695
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10024
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
66717
77.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66342
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
99% |
7299
580.6 IPS |
|
|
Object Detection (Q)
|
91% |
6742
538.7 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16443
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
15119
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47243
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
48018
375.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16964
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120305
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
113494
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23180
855.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23862
881.1 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3928
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2522
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3660
63.2 IPS |
