iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1157
Single Precision Score
1408
Half Precision Score
400
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 10 2026 05:40 AM |
| Views | 4 |
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% |
915
170.2 IPS |
|
|
Image Classification (HP)
|
100% |
1194
222.0 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3981
4.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1709
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (HP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (Q)
|
92% |
183
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2824
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4024
31.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
543
4.24 IPS |
|
|
Style Transfer (SP)
|
100% |
7859
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9637
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3036
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
93
124.1 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.4 IPS |
|
|
Text Classification (Q)
|
93% |
102
137.4 IPS |
|
|
Machine Translation (SP)
|
100% |
533
9.17 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
98% |
487
8.41 IPS |
