iPad Pro (11-inch)
Geekbench AI Score
899
Single Precision Score
1121
Half Precision Score
368
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dudleynyc |
| Upload Date | October 09 2024 04:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
907
168.6 IPS |
|
|
Image Classification (HP)
|
100% |
1198
222.9 IPS |
|
|
Image Classification (Q)
|
96% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
233
3.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
2810
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4008
4.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1572
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (Q)
|
92% |
150
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (Q)
|
100% |
273
3.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
2833
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3193
24.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
439
3.43 IPS |
|
|
Style Transfer (SP)
|
100% |
4867
6.26 IPS |
|
|
Style Transfer (HP)
|
100% |
6302
8.10 IPS |
|
|
Style Transfer (Q)
|
96% |
2656
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
336
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
343
457.8 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.5 IPS |
|
|
Text Classification (Q)
|
93% |
291
390.9 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.64 IPS |
|
|
Machine Translation (Q)
|
98% |
170
2.93 IPS |
