iPad Air 11-inch (M2)
Geekbench AI Score
3453
Single Precision Score
25805
Half Precision Score
28539
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:10 AM |
| 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 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% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
14496
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
14920
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19021
308.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23853
386.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
101894
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104348
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
15025
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16849
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32385
384.8 IPS |
|
|
Face Detection (Q)
|
100% |
41350
491.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5612
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84763
653.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
104361
815.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18801
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201306
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
188856
243.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4083
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38114
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46217
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3676
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3521
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3980
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4138
71.5 IPS |
