iPad Pro (11-inch)
Geekbench AI Score
711
Single Precision Score
2490
Half Precision Score
438
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| 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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
2586
481.0 IPS |
|
|
Image Classification (Q)
|
99% |
177
33.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
30286
35.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
1456
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (Q)
|
94% |
194
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6790
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1066
8.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
23377
180.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
609
4.76 IPS |
|
|
Style Transfer (SP)
|
100% |
3558
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3511
4.51 IPS |
|
|
Style Transfer (Q)
|
96% |
2536
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
466
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.7 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.8 IPS |
|
|
Text Classification (Q)
|
93% |
293
393.9 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.47 IPS |
