iPad Air (5th generation)
Geekbench AI Score
3205
Single Precision Score
5379
Half Precision Score
4422
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 12:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.6 IPS |
|
|
Image Classification (Q)
|
96% |
1583
295.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2546
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14255
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12227
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1794
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5477
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3183
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10334
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7380
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16950
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26987
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22393
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3505
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3948
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3926
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4461
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4471
77.3 IPS |
