iPad12,2
Geekbench AI Score
1754
Single Precision Score
3182
Half Precision Score
2659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 09:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad12,2 |
| Model ID | iPad12,2 |
| Motherboard | J182AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1375
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3434
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6354
7.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
5674
6.65 IPS |
|
|
Object Detection (SP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (HP)
|
97% |
1585
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1169
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1851
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3181
24.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5918
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4373
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7864
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14738
18.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12580
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2919
107.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2189
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
99% |
2414
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2719
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3293
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3280
56.7 IPS |
