iPad Air 11-inch (M2)
Geekbench AI Score
3450
Single Precision Score
5923
Half Precision Score
4803
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 09:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
2475
460.2 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2812
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6854
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14730
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12675
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2865
228.1 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6152
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3533
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5611
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11629
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8083
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19091
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29026
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24052
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4045
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3538
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5698
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5669
98.0 IPS |
