iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1049
Single Precision Score
1624
Half Precision Score
1386
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 10:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
503
93.6 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (Q)
|
96% |
635
118.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2501
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2032
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
950
75.4 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (Q)
|
100% |
1500
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1726
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2636
20.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
2201
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4737
6.09 IPS |
|
|
Style Transfer (HP)
|
100% |
7535
9.69 IPS |
|
|
Style Transfer (Q)
|
96% |
6216
8.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1208
44.6 IPS |
|
|
Text Classification (SP)
|
99% |
438
585.1 IPS |
|
|
Text Classification (HP)
|
99% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
827
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1292
22.3 IPS |
