iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7390
Single Precision Score
8219
Half Precision Score
7621
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | teotwawk |
| Upload Date | March 07 2026 12:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3609
671.1 IPS |
|
|
Image Classification (HP)
|
100% |
3579
665.6 IPS |
|
|
Image Classification (Q)
|
96% |
3330
621.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5688
92.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5897
95.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5602
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24381
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26786
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
25920
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3644
289.0 IPS |
|
|
Object Detection (HP)
|
100% |
3688
292.5 IPS |
|
|
Object Detection (Q)
|
92% |
3373
269.2 IPS |
|
|
Face Detection (SP)
|
100% |
10309
122.5 IPS |
|
|
Face Detection (HP)
|
100% |
12074
143.5 IPS |
|
|
Face Detection (Q)
|
100% |
10009
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16713
128.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18034
138.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16414
128.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42303
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49201
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47721
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9883
364.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10281
379.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8779
324.2 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3840
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1535
26.5 IPS |
