iPad Air (5th generation)
Geekbench AI Score
3231
Single Precision Score
14124
Half Precision Score
14009
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 08:19 AM |
| Views | 6 |
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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
5854
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5776
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8787
142.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9195
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6471
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
66351
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
63999
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
6459
513.8 IPS |
|
|
Object Detection (Q)
|
91% |
6116
488.7 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
12304
146.2 IPS |
|
|
Face Detection (Q)
|
100% |
12755
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5663
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42467
327.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
44072
344.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16972
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118847
152.8 IPS |
|
|
Style Transfer (Q)
|
96% |
110406
142.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24022
887.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23219
857.4 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3858
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2519
43.5 IPS |
