iPad Air (5th generation)
Geekbench AI Score
3212
Single Precision Score
5370
Half Precision Score
4408
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 01 2025 03:47 AM |
| Views | 4 |
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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.2 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2549
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14252
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12212
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2419
192.6 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5445
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3186
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10425
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7385
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16972
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26963
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22384
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4598
169.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3504
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3807
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4500
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4472
77.3 IPS |
