iPad Pro (11-inch)
Geekbench AI Score
714
Single Precision Score
2449
Half Precision Score
448
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 09:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.5 IPS |
|
|
Image Classification (Q)
|
99% |
177
33.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2217
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
27300
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1531
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
856
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6635
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
23009
177.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3549
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3511
4.51 IPS |
|
|
Style Transfer (Q)
|
96% |
2550
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
497
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.4 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.1 IPS |
|
|
Text Classification (Q)
|
93% |
303
406.9 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.59 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.56 IPS |
