iPad Pro (11-inch)
Geekbench AI Score
942
Single Precision Score
1493
Half Precision Score
1302
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | May 27 2025 03:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.0 IPS |
|
|
Image Classification (Q)
|
96% |
636
118.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2409
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2092
2.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
1950
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
963
76.3 IPS |
|
|
Object Detection (Q)
|
92% |
776
62.0 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (Q)
|
100% |
1482
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1497
11.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2592
20.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2132
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3350
4.31 IPS |
|
|
Style Transfer (HP)
|
100% |
5819
7.48 IPS |
|
|
Style Transfer (Q)
|
96% |
5469
7.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1074
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1169
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.7 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.7 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.1 IPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1259
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
