iPad Air (5th generation)
Geekbench AI Score
3216
Single Precision Score
14058
Half Precision Score
13966
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Longfellow55 |
| Upload Date | June 21 2025 08:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
5831
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5886
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8696
141.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9033
146.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
65935
76.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65370
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
6433
511.8 IPS |
|
|
Object Detection (Q)
|
91% |
6028
481.6 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
12195
144.9 IPS |
|
|
Face Detection (Q)
|
100% |
12634
150.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
42424
326.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
42844
334.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16919
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118815
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
109429
141.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23254
858.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23200
856.7 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3829
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2563
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2562
44.3 IPS |
