iPad Air 11-inch (M2)
Geekbench AI Score
5867
Single Precision Score
6575
Half Precision Score
5758
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | wwwfx9jp |
| Upload Date | January 07 2025 09:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2909
541.0 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.8 IPS |
|
|
Image Classification (Q)
|
97% |
2476
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3831
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4551
73.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4588
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22377
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23681
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22082
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2970
235.6 IPS |
|
|
Object Detection (HP)
|
100% |
3045
241.5 IPS |
|
|
Object Detection (Q)
|
91% |
2642
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
9627
114.4 IPS |
|
|
Face Detection (HP)
|
100% |
10887
129.4 IPS |
|
|
Face Detection (Q)
|
100% |
7650
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15384
118.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16337
125.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13668
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38545
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43587
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40786
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8023
296.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8395
310.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6644
245.3 IPS |
|
|
Text Classification (SP)
|
100% |
2154
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3601
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3574
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
597
10.3 IPS |
