iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3306
Single Precision Score
6023
Half Precision Score
4898
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.1 IPS |
|
|
Image Classification (Q)
|
96% |
1770
330.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6329
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
14972
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12771
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.1 IPS |
|
|
Object Detection (HP)
|
97% |
2843
226.4 IPS |
|
|
Object Detection (Q)
|
94% |
2068
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6056
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11051
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7698
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18103
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28197
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23418
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4960
183.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3731
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6791
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6749
116.6 IPS |
