iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1019
Single Precision Score
1558
Half Precision Score
1345
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 01 2026 08:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
492
91.6 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.3 IPS |
|
|
Image Classification (Q)
|
96% |
633
118.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1011
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2552
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2197
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
1935
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
758
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1283
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (Q)
|
100% |
1501
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1728
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2696
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2266
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4981
6.40 IPS |
|
|
Style Transfer (HP)
|
100% |
7929
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7129
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1221
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.1 IPS |
|
|
Text Classification (HP)
|
100% |
556
741.6 IPS |
|
|
Text Classification (Q)
|
93% |
552
740.3 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1270
22.0 IPS |
