iPad Pro (11-inch)
Geekbench AI Score
997
Single Precision Score
1541
Half Precision Score
1331
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 06:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.6 IPS |
|
|
Image Classification (Q)
|
96% |
630
117.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2556
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2216
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
2083
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
976
77.4 IPS |
|
|
Object Detection (Q)
|
92% |
756
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2327
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1485
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2647
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2185
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4436
5.70 IPS |
|
|
Style Transfer (HP)
|
100% |
7352
9.45 IPS |
|
|
Style Transfer (Q)
|
96% |
6623
8.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1170
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.2 IPS |
|
|
Text Classification (HP)
|
99% |
549
733.4 IPS |
|
|
Text Classification (Q)
|
93% |
546
732.4 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1244
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1250
21.6 IPS |
