iPad Air 11-inch (M2)
Geekbench AI Score
3446
Single Precision Score
5898
Half Precision Score
4793
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | wwwfx9jp |
| Upload Date | January 07 2025 09:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
2483
461.8 IPS |
|
|
Image Classification (Q)
|
96% |
1728
322.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2811
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6858
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14934
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12662
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2872
228.6 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6164
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3542
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11539
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7971
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18807
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28394
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23654
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3557
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3711
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5735
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5694
98.4 IPS |
