iPad Air (5th generation)
Geekbench AI Score
3205
Single Precision Score
15720
Half Precision Score
15363
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 12:31 AM |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
6230
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5845
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9708
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9965
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6474
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
67322
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66445
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7328
582.9 IPS |
|
|
Object Detection (Q)
|
91% |
6717
536.7 IPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16591
197.1 IPS |
|
|
Face Detection (Q)
|
100% |
15256
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5646
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47302
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47541
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16940
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120096
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
112263
144.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23196
856.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23816
879.4 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3970
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3660
63.2 IPS |
