iPad Air 11-inch (M2)
Geekbench AI Score
5798
Single Precision Score
6467
Half Precision Score
5825
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2421
450.3 IPS |
|
|
Image Classification (HP)
|
100% |
2718
505.5 IPS |
|
|
Image Classification (Q)
|
97% |
2289
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3675
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4490
72.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4623
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22402
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23796
27.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22110
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2981
236.4 IPS |
|
|
Object Detection (HP)
|
100% |
3156
250.3 IPS |
|
|
Object Detection (Q)
|
91% |
2646
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
9584
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
11120
132.1 IPS |
|
|
Face Detection (Q)
|
100% |
7551
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15411
118.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16224
125.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
13648
106.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38611
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43616
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40817
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8000
295.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8419
310.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6651
245.6 IPS |
|
|
Text Classification (SP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3643
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3643
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (Q)
|
98% |
713
12.3 IPS |
