iPad Air (5th generation)
Geekbench AI Score
3212
Single Precision Score
5385
Half Precision Score
4407
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 08:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.2 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2521
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
14224
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12207
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2412
192.0 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5402
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3154
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5625
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10365
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7367
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16958
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26941
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22312
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3511
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4540
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4531
78.3 IPS |
