iPad Air (5th generation)
Geekbench AI Score
3210
Single Precision Score
5375
Half Precision Score
4421
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | raynet111 |
| Upload Date | June 23 2025 01:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1422
264.4 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.7 IPS |
|
|
Image Classification (Q)
|
96% |
1577
294.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2549
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6513
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14257
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12226
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5451
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5540
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10305
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7362
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16975
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26972
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22345
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4597
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3524
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4575
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4576
79.1 IPS |
