iPad Pro (11-inch)
Geekbench AI Score
1154
Single Precision Score
1403
Half Precision Score
394
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 18 2025 02:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
864
160.7 IPS |
|
|
Image Classification (HP)
|
100% |
1208
224.7 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
220
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3985
4.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1709
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
907
71.9 IPS |
|
|
Object Detection (HP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3354
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
294
3.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
2857
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4072
31.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
533
4.16 IPS |
|
|
Style Transfer (SP)
|
100% |
7879
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9627
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3009
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
396
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
99
131.5 IPS |
|
|
Text Classification (HP)
|
100% |
104
139.2 IPS |
|
|
Text Classification (Q)
|
93% |
101
135.8 IPS |
|
|
Machine Translation (SP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.12 IPS |
|
|
Machine Translation (Q)
|
98% |
469
8.11 IPS |
