iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1257
Single Precision Score
1540
Half Precision Score
438
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | April 10 2025 12:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,8 |
| Motherboard | J321xAP |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
915
170.1 IPS |
|
|
Image Classification (HP)
|
100% |
1182
219.8 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
222
3.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2804
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3974
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1699
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (HP)
|
100% |
1217
96.6 IPS |
|
|
Object Detection (Q)
|
92% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3815
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
2973
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4160
32.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
547
4.27 IPS |
|
|
Style Transfer (SP)
|
100% |
7831
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9543
12.3 IPS |
|
|
Style Transfer (Q)
|
96% |
3039
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
217
289.8 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.8 IPS |
|
|
Text Classification (Q)
|
93% |
268
360.3 IPS |
|
|
Machine Translation (SP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
98% |
468
8.08 IPS |
