iPad Air iPad Air (5th generation)
Geekbench AI Score
3222
Single Precision Score
16307
Half Precision Score
15983
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 10 2024 05:06 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
6192
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5853
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9743
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10065
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
66543
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65684
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7300
580.7 IPS |
|
|
Object Detection (Q)
|
91% |
6745
538.9 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16458
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15189
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5807
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47266
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47230
369.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17085
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119686
153.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111925
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23259
858.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23771
877.8 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5345
92.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5615
97.0 IPS |
