iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1061
Single Precision Score
1657
Half Precision Score
1428
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 06 2026 10:04 AM |
| Views | 6 |
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% |
493
91.8 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
96% |
653
121.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1012
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2523
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2349
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2147
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
766
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2335
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1488
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1721
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2743
21.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2255
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4666
6.00 IPS |
|
|
Style Transfer (HP)
|
100% |
7925
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7121
9.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1237
45.7 IPS |
|
|
Text Classification (SP)
|
99% |
472
629.6 IPS |
|
|
Text Classification (HP)
|
99% |
908
1.21 KIPS |
|
|
Text Classification (Q)
|
93% |
866
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1268
21.9 IPS |
