iPad Air (5th generation)
Geekbench AI Score
3212
Single Precision Score
15609
Half Precision Score
15340
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 18 2025 03:14 PM |
| Views | 3 |
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% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
6222
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5864
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9646
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10171
164.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
67728
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66575
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7216
574.0 IPS |
|
|
Object Detection (Q)
|
91% |
6667
532.7 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16461
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15245
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5693
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47077
362.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47515
371.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16984
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119849
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
113922
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22924
846.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23568
870.2 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3646
63.0 IPS |
