iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7450
Single Precision Score
8440
Half Precision Score
7728
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 12:43 PM |
| 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% |
3695
687.2 IPS |
|
|
Image Classification (HP)
|
100% |
3683
684.9 IPS |
|
|
Image Classification (Q)
|
96% |
3376
630.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5776
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5942
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5683
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24740
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26878
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26114
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3585
284.3 IPS |
|
|
Object Detection (HP)
|
100% |
3599
285.5 IPS |
|
|
Object Detection (Q)
|
92% |
3444
274.9 IPS |
|
|
Face Detection (SP)
|
100% |
10473
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
12010
142.7 IPS |
|
|
Face Detection (Q)
|
100% |
10087
119.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16896
130.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18168
140.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
16701
130.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42911
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49188
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47701
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9805
362.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10281
379.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8812
325.4 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3849
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3834
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1623
28.0 IPS |
