iPad Air (5th generation)
Geekbench AI Score
3092
Single Precision Score
5419
Half Precision Score
4443
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | WallyS |
| Upload Date | December 30 2025 10:31 AM |
| Views | 8 |
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% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.1 IPS |
|
|
Image Classification (Q)
|
96% |
1569
292.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2520
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14132
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12135
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2413
192.1 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5437
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3175
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5453
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10446
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7348
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16509
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26229
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21829
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4177
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4169
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4727
81.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4695
81.1 IPS |
