iPad Air (5th generation)
Geekbench AI Score
3242
Single Precision Score
16270
Half Precision Score
16060
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | November 01 2024 07:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
6136
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5660
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9796
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10145
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
66363
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65680
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7209
573.4 IPS |
|
|
Object Detection (Q)
|
91% |
6727
537.5 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16681
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
15334
182.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5794
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47335
364.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47832
373.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17123
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120174
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
111924
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23196
856.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23854
880.8 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6024
104.1 IPS |
