iPad Air 11-inch (M2)
Geekbench AI Score
3439
Single Precision Score
26518
Half Precision Score
28961
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 07:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
14403
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
14946
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19580
317.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23990
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6830
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
106659
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104802
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
99% |
15373
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16978
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33118
393.5 IPS |
|
|
Face Detection (Q)
|
100% |
41520
493.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5609
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85217
656.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107028
836.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18644
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203370
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
186471
240.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3969
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39234
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46376
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3843
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3775
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4485
77.5 IPS |
