iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3494
Single Precision Score
26046
Half Precision Score
28831
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | teotwawk |
| Upload Date | March 07 2026 12:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
13676
2.54 KIPS |
|
|
Image Classification (Q)
|
96% |
14983
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19302
312.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23971
388.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6871
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
105340
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104670
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.6 IPS |
|
|
Object Detection (HP)
|
99% |
14910
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16747
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
32814
389.9 IPS |
|
|
Face Detection (Q)
|
100% |
41205
489.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84098
647.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
103659
810.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18641
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201104
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189642
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38226
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45959
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3885
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3873
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4372
75.6 IPS |
