iPad Pro 13” 2024 iPad16,6
Geekbench AI Score
8020
Single Precision Score
9080
Half Precision Score
8131
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gundar |
| Upload Date | August 15 2024 10:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4281
796.1 IPS |
|
|
Image Classification (HP)
|
100% |
4582
852.0 IPS |
|
|
Image Classification (Q)
|
99% |
4155
775.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4763
77.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6632
107.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6476
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28322
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30430
35.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
27738
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
4565
362.1 IPS |
|
|
Object Detection (HP)
|
100% |
4986
395.5 IPS |
|
|
Object Detection (Q)
|
92% |
3972
317.1 IPS |
|
|
Face Detection (SP)
|
100% |
12045
143.1 IPS |
|
|
Face Detection (HP)
|
100% |
15213
180.8 IPS |
|
|
Face Detection (Q)
|
100% |
11080
131.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20228
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22530
173.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
22511
174.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56160
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67653
87.0 IPS |
|
|
Style Transfer (Q)
|
100% |
67027
86.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11450
422.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12557
463.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9882
366.1 IPS |
|
|
Text Classification (SP)
|
100% |
1664
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1714
2.29 KIPS |
|
|
Text Classification (Q)
|
93% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1656
28.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2001
34.6 IPS |
