iPad Air 11-inch (M2)
Geekbench AI Score
5930
Single Precision Score
6541
Half Precision Score
5875
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:08 AM |
| Views | 1 |
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% |
2906
540.4 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.9 IPS |
|
|
Image Classification (Q)
|
97% |
2458
458.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3834
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4562
74.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4578
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22410
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23670
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22114
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2989
237.1 IPS |
|
|
Object Detection (HP)
|
100% |
3147
249.6 IPS |
|
|
Object Detection (Q)
|
91% |
2628
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
9637
114.5 IPS |
|
|
Face Detection (HP)
|
100% |
10895
129.5 IPS |
|
|
Face Detection (Q)
|
100% |
7640
90.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15342
118.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16237
125.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13626
106.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38524
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43604
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40920
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7998
295.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8388
309.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6712
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3639
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
720
12.4 IPS |
