iPad Air (5th generation)
Geekbench AI Score
5247
Single Precision Score
6110
Half Precision Score
5653
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gemino |
| Upload Date | October 30 2025 04:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.4 IPS |
|
|
Image Classification (Q)
|
96% |
2231
416.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4017
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4320
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4148
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17005
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18898
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18182
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.3 IPS |
|
|
Object Detection (HP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (Q)
|
92% |
2455
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
6804
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8550
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
7067
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12379
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13920
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12626
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28850
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35248
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34244
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6224
229.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7134
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5980
220.8 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4148
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4203
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1052
18.2 IPS |
