iPad Pro (11-inch)
Geekbench AI Score
918
Single Precision Score
1356
Half Precision Score
1215
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | croman247 |
| Upload Date | December 19 2024 06:19 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.1 IPS |
|
|
Image Classification (Q)
|
96% |
557
104.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (Q)
|
99% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2426
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2132
2.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
2002
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.8 IPS |
|
|
Object Detection (HP)
|
99% |
822
65.2 IPS |
|
|
Object Detection (Q)
|
92% |
677
54.0 IPS |
|
|
Face Detection (SP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (Q)
|
100% |
1265
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1330
10.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2352
18.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2006
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4138
5.32 IPS |
|
|
Style Transfer (HP)
|
100% |
7414
9.53 IPS |
|
|
Style Transfer (Q)
|
96% |
6826
8.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1160
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
291
387.9 IPS |
|
|
Text Classification (HP)
|
99% |
562
749.8 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.1 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1100
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1105
19.1 IPS |
