iPad Pro (11-inch)
Geekbench AI Score
546
Single Precision Score
854
Half Precision Score
663
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 05:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
454
84.5 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.0 IPS |
|
|
Image Classification (Q)
|
96% |
634
118.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
979
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1513
1.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
1109
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
99% |
381
30.2 IPS |
|
|
Object Detection (Q)
|
92% |
172
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
594
7.05 IPS |
|
|
Face Detection (HP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (Q)
|
100% |
429
5.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
634
4.88 IPS |
|
|
Depth Estimation (HP)
|
98% |
1457
11.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1272
9.94 IPS |
|
|
Style Transfer (SP)
|
100% |
2343
3.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3748
4.82 IPS |
|
|
Style Transfer (Q)
|
96% |
3413
4.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.7 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.6 IPS |
|
|
Text Classification (Q)
|
93% |
192
258.2 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
98% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
796
13.7 IPS |
