iPad Air (5th generation)
Geekbench AI Score
3240
Single Precision Score
5318
Half Precision Score
4372
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 15 2024 04:23 AM |
| Views | 4 |
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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.2 IPS |
|
|
Image Classification (Q)
|
96% |
1569
292.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13978
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12049
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2443
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5579
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3197
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11078
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7663
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17166
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26329
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22020
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4440
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3409
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3765
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3724
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3884
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4207
72.7 IPS |
