iPad Air (5th generation)
Geekbench AI Score
3223
Single Precision Score
15532
Half Precision Score
15285
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | May 27 2025 04:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
5853
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5821
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9694
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10099
163.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6486
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
68635
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66524
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7202
572.9 IPS |
|
|
Object Detection (Q)
|
91% |
6789
542.5 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16610
197.4 IPS |
|
|
Face Detection (Q)
|
100% |
15146
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5650
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47038
362.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
46758
365.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16950
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119895
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112632
145.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22968
848.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23572
870.4 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3825
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3646
63.0 IPS |
