iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
709
Single Precision Score
2423
Half Precision Score
442
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | August 17 2025 08:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,5 |
| Motherboard | J320AP |
| 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 | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (Q)
|
99% |
166
31.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2188
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
27662
32.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
1515
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6636
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
23914
184.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3564
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3503
4.50 IPS |
|
|
Style Transfer (Q)
|
96% |
2488
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3338
123.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
483
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.5 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.2 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.8 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.52 IPS |
