iPad Air 13-inch (M2)
Geekbench AI Score
3465
Single Precision Score
25840
Half Precision Score
28615
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 03:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Air 13-inch (M2) |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
14003
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
14629
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19004
308.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23849
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105628
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104568
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
99% |
15032
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16968
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
32320
384.0 IPS |
|
|
Face Detection (Q)
|
100% |
41418
492.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84773
653.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
106216
830.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18878
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201638
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
188799
243.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38429
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46484
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3739
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4120
71.2 IPS |
