iPad Air 11-inch (7th generation) iPad15,3
Geekbench AI Score
4023
Single Precision Score
31006
Half Precision Score
34778
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | B43k22 |
| Upload Date | December 20 2025 06:49 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
16260
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
19259
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21973
356.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27500
445.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8431
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
122563
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120746
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
17698
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20327
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
39822
473.2 IPS |
|
|
Face Detection (Q)
|
100% |
52229
620.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6985
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97205
748.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
121516
950.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22019
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229164
294.6 IPS |
|
|
Style Transfer (Q)
|
96% |
220507
284.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5008
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47481
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54480
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4694
81.1 IPS |
