iPad Pro (11-inch)
Geekbench AI Score
1017
Single Precision Score
1554
Half Precision Score
1345
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dudleynyc |
| Upload Date | October 09 2024 04:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
490
91.2 IPS |
|
|
Image Classification (HP)
|
100% |
814
151.5 IPS |
|
|
Image Classification (Q)
|
96% |
641
119.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1001
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2545
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2235
2.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
2027
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (HP)
|
99% |
946
75.0 IPS |
|
|
Object Detection (Q)
|
92% |
770
61.5 IPS |
|
|
Face Detection (SP)
|
100% |
1283
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (Q)
|
100% |
1505
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1749
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2692
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2254
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5017
6.45 IPS |
|
|
Style Transfer (HP)
|
100% |
7769
9.99 IPS |
|
|
Style Transfer (Q)
|
96% |
6924
8.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1220
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.1 IPS |
|
|
Text Classification (HP)
|
99% |
542
723.8 IPS |
|
|
Text Classification (Q)
|
93% |
542
728.0 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1251
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1250
21.6 IPS |
