iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7475
Single Precision Score
8343
Half Precision Score
7652
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | bluetech |
| Upload Date | August 01 2025 05:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3643
677.4 IPS |
|
|
Image Classification (HP)
|
100% |
3634
675.8 IPS |
|
|
Image Classification (Q)
|
96% |
3461
646.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5699
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5869
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5604
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24647
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26756
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26013
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3641
288.8 IPS |
|
|
Object Detection (HP)
|
100% |
3676
291.6 IPS |
|
|
Object Detection (Q)
|
92% |
3351
267.5 IPS |
|
|
Face Detection (SP)
|
100% |
10289
122.3 IPS |
|
|
Face Detection (HP)
|
100% |
12007
142.7 IPS |
|
|
Face Detection (Q)
|
100% |
10005
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16787
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18229
140.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
16551
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42821
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49284
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47715
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9772
360.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10418
384.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8814
325.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1540
26.6 IPS |
