iPad Air 13-inch (M2)
Geekbench AI Score
6554
Single Precision Score
7328
Half Precision Score
6988
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | TallonRain |
| Upload Date | July 09 2025 04:01 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2967
551.7 IPS |
|
|
Image Classification (HP)
|
100% |
2982
554.5 IPS |
|
|
Image Classification (Q)
|
96% |
2775
518.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5178
83.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5293
85.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5080
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22385
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24380
28.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
23617
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3256
258.3 IPS |
|
|
Object Detection (HP)
|
100% |
3167
251.2 IPS |
|
|
Object Detection (Q)
|
92% |
2876
229.6 IPS |
|
|
Face Detection (SP)
|
100% |
9573
113.8 IPS |
|
|
Face Detection (HP)
|
100% |
11059
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
9195
109.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15450
119.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16667
128.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
15143
118.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38952
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44319
57.0 IPS |
|
|
Style Transfer (Q)
|
96% |
42910
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8022
296.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8622
318.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7391
272.9 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3834
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1714
29.6 IPS |
