iPad Air 13-inch (M2)
Geekbench AI Score
3430
Single Precision Score
26360
Half Precision Score
29054
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhone16M2 |
| Upload Date | May 24 2025 04:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
14610
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
14845
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19568
317.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23971
388.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6801
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
101427
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105067
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.7 IPS |
|
|
Object Detection (HP)
|
99% |
15118
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16829
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
33092
393.2 IPS |
|
|
Face Detection (Q)
|
100% |
41761
496.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5545
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86850
669.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108441
847.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18485
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202243
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192759
248.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3940
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38802
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46049
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3829
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3674
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4427
76.5 IPS |
