iPad Air (5th generation)
Geekbench AI Score
3089
Single Precision Score
5409
Half Precision Score
4440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 01:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.3 IPS |
|
|
Image Classification (Q)
|
96% |
1575
294.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2512
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6018
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14123
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12131
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1780
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10385
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7345
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16490
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26253
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21853
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4638
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3513
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4098
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4098
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2511
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4801
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4781
82.6 IPS |
