iPad Air (5th generation)
Geekbench AI Score
3239
Single Precision Score
16392
Half Precision Score
15968
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 25 2024 06:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
6354
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5842
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9771
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10141
164.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68181
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67009
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7354
585.0 IPS |
|
|
Object Detection (Q)
|
91% |
6606
527.9 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16684
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
15278
181.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5811
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48000
369.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
46961
367.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17131
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119764
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
113664
146.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23116
853.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23211
857.1 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3780
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3759
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5369
92.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5777
99.8 IPS |
