iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1020
Single Precision Score
1572
Half Precision Score
1357
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 14 2025 09:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (Q)
|
96% |
639
119.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
985
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2353
2.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
2243
2.63 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
92% |
757
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1743
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2712
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2275
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5135
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
7944
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7114
9.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1446
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1188
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.3 IPS |
|
|
Text Classification (HP)
|
100% |
570
761.5 IPS |
|
|
Text Classification (Q)
|
93% |
553
741.9 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
