iPad Air (5th generation)
Geekbench AI Score
3205
Single Precision Score
15674
Half Precision Score
15347
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 02:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
6207
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5863
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9683
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10000
162.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6514
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
68380
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66771
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7194
572.2 IPS |
|
|
Object Detection (Q)
|
91% |
6692
534.7 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16436
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
15165
180.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47262
364.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47429
370.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16974
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119911
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
111574
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3682
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23073
852.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23874
881.6 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3959
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3533
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3649
63.1 IPS |
