iPad Air (5th generation)
Geekbench AI Score
3211
Single Precision Score
5399
Half Precision Score
4424
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | LMAalasmari |
| Upload Date | December 08 2025 04:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
2224
413.5 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2528
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6490
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14114
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12166
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2418
192.5 IPS |
|
|
Object Detection (Q)
|
94% |
1787
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3162
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5696
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10436
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7372
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16930
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26933
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22344
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4594
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3518
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4059
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4490
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4477
77.4 IPS |
