iPad Air 11-inch (7th generation)
Geekbench AI Score
8053
Single Precision Score
9259
Half Precision Score
8597
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Fusedstamen |
| Upload Date | February 01 2026 04:56 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Air 11-inch (7th generation) |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4085
759.7 IPS |
|
|
Image Classification (HP)
|
100% |
4362
811.2 IPS |
|
|
Image Classification (Q)
|
96% |
3935
734.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6105
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6495
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6244
101.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21686
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24054
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23466
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4239
336.2 IPS |
|
|
Object Detection (HP)
|
100% |
4572
362.6 IPS |
|
|
Object Detection (Q)
|
92% |
4248
339.1 IPS |
|
|
Face Detection (SP)
|
100% |
11510
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
14546
172.8 IPS |
|
|
Face Detection (Q)
|
100% |
11690
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17754
136.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19292
148.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17735
138.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47473
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54705
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53040
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10071
371.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10279
379.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8862
327.2 IPS |
|
|
Text Classification (SP)
|
100% |
3117
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1688
29.2 IPS |
