iPad Air 13-inch (M2)
Geekbench AI Score
3448
Single Precision Score
6043
Half Precision Score
4894
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | eunu |
| Upload Date | August 03 2025 12:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2739
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6822
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15122
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12914
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
97% |
2806
223.4 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5957
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5545
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10925
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7752
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18579
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28862
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23904
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3950
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3717
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3847
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6861
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6817
117.8 IPS |
