iPad Air (5th generation)
Geekbench AI Score
5178
Single Precision Score
5913
Half Precision Score
5531
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 18 2025 03:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2315
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
2128
395.8 IPS |
|
|
Image Classification (Q)
|
96% |
2074
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3985
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4076
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16909
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18725
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18069
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
2690
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2459
196.3 IPS |
|
|
Face Detection (SP)
|
100% |
6746
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8388
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
6980
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12230
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13902
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
12794
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28649
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35094
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34097
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6334
233.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7276
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6189
228.5 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3771
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1004
17.4 IPS |
