iPad Air (5th generation)
Geekbench AI Score
3231
Single Precision Score
14328
Half Precision Score
13899
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | 0phum0 |
| Upload Date | September 25 2024 06:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
6249
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5850
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6598
107.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6705
108.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
68020
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65946
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7212
573.7 IPS |
|
|
Object Detection (Q)
|
91% |
6692
534.7 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
15941
189.4 IPS |
|
|
Face Detection (Q)
|
100% |
14776
175.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5783
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47129
363.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47255
369.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17115
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118935
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110770
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22415
827.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22802
842.0 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3822
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2331
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2307
39.9 IPS |
