iPad Air (5th generation)
Geekbench AI Score
3088
Single Precision Score
5414
Half Precision Score
4444
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Faust1977 |
| Upload Date | November 05 2025 09:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
2215
412.0 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5997
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14096
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12111
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
2398
190.9 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5403
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5447
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10386
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7337
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16500
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26153
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21832
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4618
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3504
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4236
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4217
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4735
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4749
82.1 IPS |
