iPad Air 11-inch (M2)
Geekbench AI Score
3176
Single Precision Score
23645
Half Precision Score
26731
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 05:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
14621
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15318
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19693
319.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23957
388.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6703
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
68640
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66555
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (HP)
|
99% |
11800
938.7 IPS |
|
|
Object Detection (Q)
|
91% |
11986
957.7 IPS |
|
|
Face Detection (SP)
|
100% |
2127
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
21980
261.2 IPS |
|
|
Face Detection (Q)
|
100% |
39392
468.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5293
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88376
680.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
109235
853.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18581
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205042
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194381
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40488
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47028
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3794
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3829
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4264
73.7 IPS |
