iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7561
Single Precision Score
8385
Half Precision Score
7740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 04:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3687
685.6 IPS |
|
|
Image Classification (HP)
|
100% |
3678
684.0 IPS |
|
|
Image Classification (Q)
|
96% |
3347
625.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5782
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5945
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5679
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24716
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26837
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26079
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3582
284.1 IPS |
|
|
Object Detection (HP)
|
100% |
3595
285.1 IPS |
|
|
Object Detection (Q)
|
92% |
3419
272.9 IPS |
|
|
Face Detection (SP)
|
100% |
10467
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
11984
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
10104
120.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16861
129.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18111
139.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16720
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42716
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49217
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47684
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9782
361.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10265
379.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8877
327.8 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3766
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1914
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1692
29.2 IPS |
