iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3450
Single Precision Score
26038
Half Precision Score
28977
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | bluetech |
| Upload Date | August 01 2025 05:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
13843
2.57 KIPS |
|
|
Image Classification (Q)
|
96% |
15316
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19416
314.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23849
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6846
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
105714
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104590
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
99% |
14982
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16980
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
32742
389.0 IPS |
|
|
Face Detection (Q)
|
100% |
41133
488.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5601
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83387
642.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
105317
823.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18612
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201069
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
191740
247.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37937
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45924
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3870
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4207
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4359
75.3 IPS |
