iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1068
Single Precision Score
1668
Half Precision Score
1430
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 03 2026 09:20 AM |
| Views | 5 |
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% |
496
92.3 IPS |
|
|
Image Classification (HP)
|
100% |
817
151.9 IPS |
|
|
Image Classification (Q)
|
96% |
655
122.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1018
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2459
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2350
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2059
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
99% |
946
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (Q)
|
100% |
1488
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1742
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2747
21.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2281
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4996
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
7934
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7155
9.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1262
46.6 IPS |
|
|
Text Classification (SP)
|
99% |
465
620.0 IPS |
|
|
Text Classification (HP)
|
99% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
93% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1290
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1280
22.1 IPS |
