iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1024
Single Precision Score
1573
Half Precision Score
1336
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | April 10 2025 12:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
495
92.1 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.4 IPS |
|
|
Image Classification (Q)
|
96% |
643
120.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1029
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2364
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
1773
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
971
77.0 IPS |
|
|
Object Detection (Q)
|
92% |
766
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (Q)
|
100% |
1508
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1743
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2681
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2246
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4989
6.41 IPS |
|
|
Style Transfer (HP)
|
100% |
7749
9.96 IPS |
|
|
Style Transfer (Q)
|
96% |
7023
9.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1284
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1218
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.1 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.1 IPS |
|
|
Text Classification (Q)
|
93% |
555
745.0 IPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1286
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1257
21.7 IPS |
