iPad Air (5th generation)
Geekbench AI Score
5129
Single Precision Score
5847
Half Precision Score
5507
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | May 12 2025 11:02 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2061
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (Q)
|
96% |
2095
391.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4248
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4086
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16849
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18335
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17572
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
2706
214.6 IPS |
|
|
Object Detection (Q)
|
92% |
2427
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
6754
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
8415
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7038
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12130
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13616
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12625
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28671
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34845
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33754
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6371
235.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7159
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6024
222.4 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3848
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1012
17.5 IPS |
