iPad Air (5th generation)
Geekbench AI Score
3228
Single Precision Score
5314
Half Precision Score
4388
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
96% |
1552
289.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2568
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13868
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11993
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2432
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5562
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3208
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5817
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11060
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7646
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17144
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26233
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21980
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4386
161.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3381
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3936
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4249
73.4 IPS |
