iPad Air (5th generation)
Geekbench AI Score
2805
Single Precision Score
13654
Half Precision Score
14201
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
952
177.1 IPS |
|
|
Image Classification (HP)
|
100% |
6057
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
4918
918.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7178
116.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7951
128.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4058
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
47980
56.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65916
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
4828
384.1 IPS |
|
|
Object Detection (Q)
|
91% |
6656
531.8 IPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
14550
172.9 IPS |
|
|
Face Detection (Q)
|
100% |
13373
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47272
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
45701
357.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16909
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122721
157.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112159
144.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23773
877.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23816
879.4 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2570
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2750
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2987
51.6 IPS |
