iPad Air 11-inch (7th generation)
Geekbench AI Score
4054
Single Precision Score
30662
Half Precision Score
34196
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | COTJAR |
| Upload Date | January 09 2026 12:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1550
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
16392
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
18016
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22292
361.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27463
445.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8391
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
120854
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120502
141.2 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
17792
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20304
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39328
467.3 IPS |
|
|
Face Detection (Q)
|
100% |
51606
613.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7097
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
97590
751.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
118773
928.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22048
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
228907
294.3 IPS |
|
|
Style Transfer (Q)
|
96% |
220151
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43822
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52218
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3171
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5383
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5445
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4709
81.4 IPS |
