iPad Air (5th generation)
Geekbench AI Score
4968
Single Precision Score
5714
Half Precision Score
5822
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 01:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2232
415.2 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (Q)
|
96% |
2569
479.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4114
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4352
70.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4199
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16824
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12759
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17263
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.3 IPS |
|
|
Object Detection (HP)
|
100% |
2774
220.0 IPS |
|
|
Object Detection (Q)
|
92% |
2581
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
7056
83.8 IPS |
|
|
Face Detection (HP)
|
100% |
8406
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
7410
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12870
99.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14434
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13461
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29075
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33095
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34717
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6691
247.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7387
272.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6810
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3670
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1076
18.6 IPS |
