iPad Air (5th Generation) iPad13,17
Geekbench AI Score
3206
Single Precision Score
15727
Half Precision Score
15421
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tlgjaymz |
| Upload Date | January 31 2025 05:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
6270
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5978
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9756
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10054
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66828
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65807
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7225
574.8 IPS |
|
|
Object Detection (Q)
|
91% |
6696
535.0 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16552
196.7 IPS |
|
|
Face Detection (Q)
|
100% |
15203
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47308
364.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
47824
373.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17175
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120611
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114252
147.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23382
863.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23829
879.9 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3776
65.3 IPS |
