iPad Pro (11-inch)
Geekbench AI Score
662
Single Precision Score
2440
Half Precision Score
425
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | May 27 2025 02:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
335
62.3 IPS |
|
|
Image Classification (HP)
|
100% |
2706
503.1 IPS |
|
|
Image Classification (Q)
|
99% |
185
34.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
222
3.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
27464
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
1378
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
833
9.89 IPS |
|
|
Face Detection (HP)
|
100% |
6645
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
285
3.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
22917
176.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
503
3.93 IPS |
|
|
Style Transfer (SP)
|
100% |
2260
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
2177
2.80 IPS |
|
|
Style Transfer (Q)
|
96% |
1744
2.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
857
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
498
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.1 IPS |
|
|
Text Classification (HP)
|
100% |
356
474.6 IPS |
|
|
Text Classification (Q)
|
93% |
362
485.8 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
98% |
373
6.45 IPS |
