iPad Air 13-inch (M2)
Geekbench AI Score
3301
Single Precision Score
26574
Half Precision Score
29499
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jacofaco |
| Upload Date | September 27 2025 05:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Air 13-inch (M2) |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
14920
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
15480
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19766
320.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23897
387.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6298
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
103811
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105058
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
99% |
15639
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
18455
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33826
401.9 IPS |
|
|
Face Detection (Q)
|
100% |
42958
510.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5411
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87581
674.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
106669
833.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18107
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204593
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
196187
253.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36484
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44909
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4272
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4438
76.7 IPS |
