iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1170
Single Precision Score
1430
Half Precision Score
401
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 27 2026 07:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
894
166.2 IPS |
|
|
Image Classification (HP)
|
100% |
1172
217.9 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2819
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3972
4.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
1702
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
930
73.7 IPS |
|
|
Object Detection (HP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (Q)
|
92% |
186
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3924
46.6 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2939
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4066
31.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
546
4.27 IPS |
|
|
Style Transfer (SP)
|
100% |
7977
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9838
12.6 IPS |
|
|
Style Transfer (Q)
|
96% |
3024
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
94
125.5 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.0 IPS |
|
|
Text Classification (Q)
|
93% |
103
138.8 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.49 IPS |
