iPad Air (5th generation)
Geekbench AI Score
3058
Single Precision Score
14117
Half Precision Score
14103
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | antoniordo |
| Upload Date | September 28 2025 08:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
5836
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5534
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8820
143.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9177
148.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6022
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
66114
77.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64415
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
99% |
6393
508.6 IPS |
|
|
Object Detection (Q)
|
91% |
6089
486.6 IPS |
|
|
Face Detection (SP)
|
100% |
2942
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
12473
148.2 IPS |
|
|
Face Detection (Q)
|
100% |
13137
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5447
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42042
323.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
42970
335.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16481
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118942
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110754
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22988
848.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22920
846.3 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2457
42.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2706
46.8 IPS |
