iPad Pro (11-inch)
Geekbench AI Score
1012
Single Precision Score
1559
Half Precision Score
1343
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | md16 |
| Upload Date | December 12 2025 08:34 PM |
| Views | 10 |
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% |
500
93.0 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.4 IPS |
|
|
Image Classification (Q)
|
96% |
648
121.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2532
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
1948
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.1 IPS |
|
|
Object Detection (HP)
|
99% |
962
76.3 IPS |
|
|
Object Detection (Q)
|
92% |
755
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2352
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1481
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1737
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2703
20.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
2234
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4850
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
7915
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7032
9.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1280
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1210
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.8 IPS |
|
|
Text Classification (HP)
|
100% |
558
745.3 IPS |
|
|
Text Classification (Q)
|
93% |
558
748.5 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1261
21.8 IPS |
