iPad Air (5th generation)
Geekbench AI Score
3230
Single Precision Score
15711
Half Precision Score
15305
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 04:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1403
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
6277
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5834
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9734
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9969
161.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6516
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
66282
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65680
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7317
582.1 IPS |
|
|
Object Detection (Q)
|
91% |
6418
512.8 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16563
196.8 IPS |
|
|
Face Detection (Q)
|
100% |
15291
181.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47265
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47567
371.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17159
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119874
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
111889
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23083
852.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23817
879.4 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3769
65.1 IPS |
