iPad Pro (11-inch)
Geekbench AI Score
967
Single Precision Score
1497
Half Precision Score
1311
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 08:02 PM |
| Views | 3 |
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% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (Q)
|
96% |
625
116.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
944
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1999
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1631
1.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
1694
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
99% |
967
76.7 IPS |
|
|
Object Detection (Q)
|
92% |
774
61.8 IPS |
|
|
Face Detection (SP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2327
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1475
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1687
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2676
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2235
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4503
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
7819
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7053
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1206
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.7 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.1 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.4 IPS |
|
|
Machine Translation (SP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
