iPad Air 13-inch (M2)
Geekbench AI Score
3475
Single Precision Score
5960
Half Precision Score
4831
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 09:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2544
473.1 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2866
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14726
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12665
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2892
230.2 IPS |
|
|
Object Detection (Q)
|
94% |
2093
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6237
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3578
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11560
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7917
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18855
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28477
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24041
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4125
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4818
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3548
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3720
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5764
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5736
99.1 IPS |
