iPad Air (5th generation)
Geekbench AI Score
2963
Single Precision Score
5140
Half Precision Score
4207
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 02:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
2113
393.0 IPS |
|
|
Image Classification (Q)
|
96% |
1517
283.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6033
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
13212
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11452
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2256
179.6 IPS |
|
|
Object Detection (Q)
|
94% |
1723
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5066
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
2889
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5264
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9953
76.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7145
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15279
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26350
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21857
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3534
130.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3403
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3967
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3934
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3974
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3969
68.6 IPS |
