iPad Air (5th generation)
Geekbench AI Score
3203
Single Precision Score
15729
Half Precision Score
15431
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 25 2025 06:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
6376
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5997
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9545
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10043
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6516
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
67483
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66260
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7219
574.3 IPS |
|
|
Object Detection (Q)
|
91% |
6702
535.5 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16770
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
15258
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5672
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47236
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47828
373.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16948
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120170
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112439
145.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3689
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23185
856.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23903
882.6 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3633
62.8 IPS |
