iPad Air (3rd generation)
Geekbench AI Score
531
Single Precision Score
2132
Half Precision Score
385
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | croissantdeepimpact |
| Upload Date | June 18 2025 04:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,3 |
| Motherboard | J217AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (HP)
|
100% |
2115
393.4 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
201
3.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
1161
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
24100
28.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
913
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (Q)
|
94% |
205
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
662
7.87 IPS |
|
|
Face Detection (HP)
|
100% |
5245
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
278
3.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
773
5.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
18840
145.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
494
3.86 IPS |
|
|
Style Transfer (SP)
|
100% |
2013
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2027
2.61 IPS |
|
|
Style Transfer (Q)
|
96% |
1693
2.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
612
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3531
130.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
501
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
274
366.0 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.2 IPS |
|
|
Text Classification (Q)
|
93% |
285
382.6 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
98% |
333
5.76 IPS |
