iPad Air (5th generation)
Geekbench AI Score
3226
Single Precision Score
5410
Half Precision Score
4427
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 07:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
2209
410.8 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2527
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14220
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12217
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2396
190.7 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5474
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3158
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5623
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10455
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7377
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16967
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26979
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22341
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4700
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2582
44.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4739
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4729
81.7 IPS |
