iPad Air (5th generation)
Geekbench AI Score
3249
Single Precision Score
15722
Half Precision Score
15429
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | March 12 2025 01:49 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
6146
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5943
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9793
158.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10097
163.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68326
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65674
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
7228
575.0 IPS |
|
|
Object Detection (Q)
|
91% |
6700
535.3 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16516
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
15293
181.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47222
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47591
371.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17163
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120085
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113376
146.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23206
856.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23982
885.5 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3869
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3782
65.4 IPS |
