iPad Air (5th generation)
Geekbench AI Score
3208
Single Precision Score
15689
Half Precision Score
15425
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 08:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
6222
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5921
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9693
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10199
165.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68675
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66661
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7226
574.9 IPS |
|
|
Object Detection (Q)
|
91% |
6710
536.1 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16420
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
15144
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5683
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47250
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47798
373.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16960
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120109
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113876
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23133
854.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23792
878.5 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3858
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3733
64.5 IPS |
