iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1252
Single Precision Score
1552
Half Precision Score
439
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | August 17 2025 08:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
888
165.1 IPS |
|
|
Image Classification (HP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2810
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3979
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1705
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
915
72.6 IPS |
|
|
Object Detection (HP)
|
100% |
1216
96.5 IPS |
|
|
Object Detection (Q)
|
92% |
182
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
3397
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2852
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4173
32.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
545
4.26 IPS |
|
|
Style Transfer (SP)
|
100% |
7881
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9629
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3024
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
213
284.9 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.9 IPS |
|
|
Text Classification (Q)
|
93% |
266
356.6 IPS |
|
|
Machine Translation (SP)
|
100% |
522
9.00 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
98% |
477
8.25 IPS |
