iPad Air (5th generation)
Geekbench AI Score
3208
Single Precision Score
5359
Half Precision Score
4403
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 12:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (Q)
|
96% |
1572
293.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2531
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14211
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12192
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2394
190.6 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5428
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3168
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10430
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7376
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16963
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26949
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22321
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4585
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3862
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4519
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4481
77.4 IPS |
