iPad Air (5th generation)
Geekbench AI Score
3083
Single Precision Score
5408
Half Precision Score
4440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gemino |
| Upload Date | October 30 2025 05:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2518
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6029
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14113
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12128
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
97% |
2399
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5382
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3145
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5465
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10411
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7361
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16500
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26218
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21827
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4608
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3504
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4193
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4167
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4780
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4747
82.0 IPS |
