iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3339
Single Precision Score
6057
Half Precision Score
4937
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:51 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.1 IPS |
|
|
Image Classification (Q)
|
96% |
1767
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2798
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6336
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14968
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13063
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
97% |
2843
226.4 IPS |
|
|
Object Detection (Q)
|
94% |
2073
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3480
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5465
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10976
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7694
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18141
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28237
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23432
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4960
183.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3735
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6851
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6863
118.6 IPS |
