iPad Air (5th generation)
Geekbench AI Score
5091
Single Precision Score
5984
Half Precision Score
5457
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 08:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
2491
463.3 IPS |
|
|
Image Classification (Q)
|
96% |
1912
357.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4015
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4235
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4072
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16853
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18302
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17503
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
2701
214.3 IPS |
|
|
Object Detection (Q)
|
92% |
2435
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
6684
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8409
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
7052
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12197
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13837
106.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12521
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28546
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33756
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33888
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6405
236.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7203
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6069
224.1 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1007
17.4 IPS |
