iPad Air (5th generation)
Geekbench AI Score
3224
Single Precision Score
5320
Half Precision Score
4375
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:00 AM |
| Views | 1 |
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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.5 IPS |
|
|
Image Classification (Q)
|
96% |
1553
290.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2577
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13899
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12014
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2434
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5519
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3200
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5793
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11062
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7636
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17106
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26390
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21996
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4487
165.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3422
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3852
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3967
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4214
72.8 IPS |
