iPad Air 13-inch (M2)
Geekbench AI Score
5671
Single Precision Score
5951
Half Precision Score
1909
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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% |
2831
526.6 IPS |
|
|
Image Classification (HP)
|
100% |
2848
529.7 IPS |
|
|
Image Classification (Q)
|
97% |
2204
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3811
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4536
73.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4474
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22251
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23624
27.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
21428
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3161
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3116
247.2 IPS |
|
|
Object Detection (Q)
|
92% |
2426
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
9348
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
10514
124.9 IPS |
|
|
Face Detection (Q)
|
100% |
7238
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15307
117.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16318
125.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38149
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43470
55.9 IPS |
|
|
Style Transfer (Q)
|
96% |
40555
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7800
288.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8294
306.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6374
235.4 IPS |
|
|
Text Classification (SP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
843
14.6 IPS |
