iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3336
Single Precision Score
6040
Half Precision Score
4910
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 11:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.8 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2780
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6319
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15073
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12880
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (HP)
|
97% |
2824
224.8 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6012
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5472
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10982
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7763
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18105
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28152
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23521
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3926
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3643
62.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6812
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6755
116.7 IPS |
