iPad Air (5th generation)
Geekbench AI Score
3197
Single Precision Score
5371
Half Precision Score
4408
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 04:07 PM |
| Views | 9 |
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% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2544
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14215
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12203
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2402
191.2 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5430
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3170
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5642
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10424
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7365
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16913
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26889
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22304
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4597
169.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3518
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3901
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4503
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4452
76.9 IPS |
