iPad Air (5th generation)
Geekbench AI Score
3203
Single Precision Score
5385
Half Precision Score
4420
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 03:02 PM |
| Views | 5 |
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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.4 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2537
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14226
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12213
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2407
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1781
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5433
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5667
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10343
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7361
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16908
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26836
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22299
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3663
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4621
170.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3869
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3853
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2569
44.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4693
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4684
81.0 IPS |
