iPad Pro (11-inch)
Geekbench AI Score
1002
Single Precision Score
1528
Half Precision Score
1327
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mesoblaste |
| Upload Date | May 26 2025 05:46 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| 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% |
505
93.8 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.2 IPS |
|
|
Image Classification (Q)
|
96% |
635
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2515
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2148
2.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
1959
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
99% |
980
77.7 IPS |
|
|
Object Detection (Q)
|
92% |
769
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1489
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1727
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2671
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2232
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4588
5.90 IPS |
|
|
Style Transfer (HP)
|
100% |
7197
9.25 IPS |
|
|
Style Transfer (Q)
|
96% |
6750
8.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1179
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.5 IPS |
|
|
Text Classification (HP)
|
100% |
518
691.5 IPS |
|
|
Text Classification (Q)
|
93% |
516
692.9 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1283
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1272
22.0 IPS |
