iPad Air (5th generation)
Geekbench AI Score
3076
Single Precision Score
5401
Half Precision Score
4434
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 06:59 AM |
| Views | 4 |
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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2521
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6029
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14097
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12130
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
2401
191.2 IPS |
|
|
Object Detection (Q)
|
94% |
1783
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5417
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5443
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10380
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7349
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16434
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26180
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21810
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3444
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4589
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3501
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4136
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4132
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4684
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4690
81.1 IPS |
