iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1069
Single Precision Score
1648
Half Precision Score
1426
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 10 2026 05:30 AM |
| Views | 9 |
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% |
493
91.7 IPS |
|
|
Image Classification (HP)
|
100% |
822
152.8 IPS |
|
|
Image Classification (Q)
|
96% |
650
121.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2493
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2320
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
1978
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (HP)
|
99% |
972
77.1 IPS |
|
|
Object Detection (Q)
|
92% |
779
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
2417
28.7 IPS |
|
|
Face Detection (Q)
|
100% |
1533
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1724
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2651
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2269
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4935
6.34 IPS |
|
|
Style Transfer (HP)
|
100% |
7913
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7050
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1269
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1242
45.9 IPS |
|
|
Text Classification (SP)
|
99% |
467
623.8 IPS |
|
|
Text Classification (HP)
|
99% |
909
1.21 KIPS |
|
|
Text Classification (Q)
|
92% |
886
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1271
22.0 IPS |
