iPad Air 13-inch (7th generation)
Geekbench AI Score
3955
Single Precision Score
31052
Half Precision Score
34796
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | victoriggy |
| Upload Date | February 15 2026 11:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Air 13-inch (7th generation) |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1488
276.7 IPS |
|
|
Image Classification (HP)
|
100% |
15839
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
19093
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21696
351.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25793
418.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8213
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
122662
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120640
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (HP)
|
100% |
18243
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20777
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
39965
474.9 IPS |
|
|
Face Detection (Q)
|
100% |
52375
622.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6950
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97992
755.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
124449
973.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21751
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229552
295.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220359
284.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48148
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56812
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4731
81.8 IPS |
