iPad Air (5th generation)
Geekbench AI Score
3238
Single Precision Score
5299
Half Precision Score
4379
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wellsriley |
| Upload Date | September 19 2024 03:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1405
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2583
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13942
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12044
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2436
194.0 IPS |
|
|
Object Detection (Q)
|
94% |
1802
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3198
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5785
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11072
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7658
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17161
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26314
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22041
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4477
165.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3414
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3786
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3821
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3881
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4216
72.9 IPS |
