iPad Air 11-inch (M2)
Geekbench AI Score
5929
Single Precision Score
6662
Half Precision Score
5885
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | marlody |
| Upload Date | January 09 2025 07:55 PM |
| Views | 7 |
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 | iPad14,9 |
| Motherboard | J508AP |
| 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% |
2915
542.1 IPS |
|
|
Image Classification (HP)
|
100% |
2997
557.4 IPS |
|
|
Image Classification (Q)
|
97% |
2469
460.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3829
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4559
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4639
75.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22368
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23641
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22110
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
3123
247.7 IPS |
|
|
Object Detection (HP)
|
100% |
3153
250.1 IPS |
|
|
Object Detection (Q)
|
91% |
2632
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
9480
112.6 IPS |
|
|
Face Detection (HP)
|
100% |
10882
129.3 IPS |
|
|
Face Detection (Q)
|
100% |
7566
89.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15377
118.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16268
125.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
13682
106.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38612
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43565
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40805
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8024
296.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8384
309.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6676
246.5 IPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
734
12.7 IPS |
