iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3262
Single Precision Score
26356
Half Precision Score
28661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 05:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
14013
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
15452
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19738
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24088
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
105539
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105063
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
99% |
15357
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16529
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
2962
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
34120
405.4 IPS |
|
|
Face Detection (Q)
|
100% |
43083
511.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5327
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85688
660.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
103011
805.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18108
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204159
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
195700
252.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36953
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40212
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3879
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3776
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4388
75.8 IPS |
