iPad Air 13-inch (M2)
Geekbench AI Score
3447
Single Precision Score
5985
Half Precision Score
4843
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | TallonRain |
| Upload Date | July 09 2025 03:59 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1371
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.3 IPS |
|
|
Image Classification (Q)
|
96% |
1717
320.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2733
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6804
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15125
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12851
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
97% |
2792
222.3 IPS |
|
|
Object Detection (Q)
|
94% |
2029
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5969
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3452
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10912
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7702
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18531
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29165
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24276
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5130
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3700
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6363
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6327
109.3 IPS |
