iPad Air (5th generation)
Geekbench AI Score
2839
Single Precision Score
13505
Half Precision Score
13331
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:19 AM |
| Views | 1 |
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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
6124
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5730
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6618
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6756
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66545
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65693
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7197
572.5 IPS |
|
|
Object Detection (Q)
|
91% |
6747
539.1 IPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
14999
178.2 IPS |
|
|
Face Detection (Q)
|
100% |
14530
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4204
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
37982
292.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
43497
339.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9648
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
106836
137.3 IPS |
|
|
Style Transfer (Q)
|
96% |
110191
142.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3276
121.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22640
836.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23574
870.5 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3399
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1852
32.0 IPS |
