iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7516
Single Precision Score
8375
Half Precision Score
7791
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 05:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
3683
684.8 IPS |
|
|
Image Classification (HP)
|
100% |
3666
681.8 IPS |
|
|
Image Classification (Q)
|
96% |
3365
628.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5783
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5941
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5694
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24741
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26863
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26057
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3583
284.2 IPS |
|
|
Object Detection (HP)
|
100% |
3591
284.8 IPS |
|
|
Object Detection (Q)
|
92% |
3428
273.7 IPS |
|
|
Face Detection (SP)
|
100% |
10438
124.0 IPS |
|
|
Face Detection (HP)
|
100% |
11988
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
10099
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16925
130.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18145
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16717
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43183
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49201
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47663
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9801
361.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10210
377.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8947
330.4 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1731
29.9 IPS |
