iPad Pro (11-inch)
Geekbench AI Score
1018
Single Precision Score
1560
Half Precision Score
1347
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 06:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| 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% |
486
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.1 IPS |
|
|
Image Classification (Q)
|
96% |
633
118.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1015
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2582
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2258
2.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
2055
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (Q)
|
100% |
1480
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1745
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2677
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2233
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4997
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
7854
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7075
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1199
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.9 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.6 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.6 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1271
22.0 IPS |
