iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1063
Single Precision Score
1643
Half Precision Score
1416
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 02 2026 07:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,7 |
| Motherboard | J321AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.0 IPS |
|
|
Image Classification (Q)
|
96% |
641
119.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1006
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2492
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1979
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
99% |
965
76.5 IPS |
|
|
Object Detection (Q)
|
92% |
775
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (Q)
|
100% |
1533
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1727
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2730
21.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
2233
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4972
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
7956
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7141
9.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1256
46.4 IPS |
|
|
Text Classification (SP)
|
99% |
461
615.3 IPS |
|
|
Text Classification (HP)
|
99% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
93% |
857
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1249
21.6 IPS |
