iPad Air (5th generation)
Geekbench AI Score
3210
Single Precision Score
5393
Half Precision Score
4426
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | August 23 2025 02:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1418
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
2203
409.7 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2552
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14254
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12221
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2425
193.1 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3179
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5682
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10463
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7355
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16985
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26923
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22344
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4618
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3524
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4482
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4469
77.2 IPS |
