iPad Air 11-inch (M2)
Geekbench AI Score
6554
Single Precision Score
7508
Half Precision Score
6761
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EriksLV |
| Upload Date | April 02 2025 04:16 PM |
| Views | 8 |
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% |
2982
554.6 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (Q)
|
96% |
2791
521.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5198
84.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5304
86.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5099
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22279
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23632
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
22980
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3281
260.3 IPS |
|
|
Object Detection (HP)
|
100% |
3186
252.7 IPS |
|
|
Object Detection (Q)
|
92% |
2897
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
9425
112.0 IPS |
|
|
Face Detection (HP)
|
100% |
10609
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
9174
109.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15429
118.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16534
127.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
15071
117.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39051
50.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43814
56.3 IPS |
|
|
Style Transfer (Q)
|
96% |
42534
54.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8027
296.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8452
312.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7315
270.1 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3805
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1287
22.2 IPS |
