iPad Air (5th generation)
Geekbench AI Score
5193
Single Precision Score
6059
Half Precision Score
5648
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 08:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4027
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4281
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4135
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17014
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18856
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18285
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (Q)
|
92% |
2471
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
6781
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
8561
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
7020
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12361
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13866
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
12795
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28272
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35050
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34143
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6291
232.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7132
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5995
221.4 IPS |
|
|
Text Classification (SP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3874
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1060
18.3 IPS |
