iPad Air 11-inch (M2)
Geekbench AI Score
6595
Single Precision Score
7251
Half Precision Score
6725
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 01:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2958
550.1 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.5 IPS |
|
|
Image Classification (Q)
|
96% |
2762
515.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5191
84.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5297
85.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5058
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22321
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23684
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
22973
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3242
257.2 IPS |
|
|
Object Detection (HP)
|
100% |
3198
253.7 IPS |
|
|
Object Detection (Q)
|
92% |
2881
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
9506
113.0 IPS |
|
|
Face Detection (HP)
|
100% |
10636
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
9142
108.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15429
118.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16673
128.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
15073
117.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38265
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43723
56.2 IPS |
|
|
Style Transfer (Q)
|
96% |
42399
54.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8121
299.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8595
317.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7249
267.7 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3774
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1282
22.2 IPS |
