iPad Pro (11-inch)
Geekbench AI Score
1022
Single Precision Score
1548
Half Precision Score
1343
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TILR |
| Upload Date | September 25 2025 06:46 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| 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 | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.1 IPS |
|
|
Image Classification (Q)
|
96% |
641
119.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2625
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2338
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2109
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
757
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (Q)
|
100% |
1468
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1752
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2663
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2212
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5084
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
7856
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7050
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1154
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.8 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.4 IPS |
|
|
Text Classification (Q)
|
93% |
554
744.2 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
