iPad16,3
Geekbench AI Score
8076
Single Precision Score
9064
Half Precision Score
8079
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Moklonus |
| Upload Date | August 18 2024 04:08 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4277
795.4 IPS |
|
|
Image Classification (HP)
|
100% |
4565
849.0 IPS |
|
|
Image Classification (Q)
|
99% |
4156
775.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4916
79.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6510
105.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6424
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28489
33.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30256
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
27731
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
4576
363.0 IPS |
|
|
Object Detection (HP)
|
100% |
4988
395.6 IPS |
|
|
Object Detection (Q)
|
92% |
3948
315.2 IPS |
|
|
Face Detection (SP)
|
100% |
12293
146.1 IPS |
|
|
Face Detection (HP)
|
100% |
15391
182.9 IPS |
|
|
Face Detection (Q)
|
100% |
11061
131.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20187
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22701
174.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
22453
173.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56307
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67481
86.7 IPS |
|
|
Style Transfer (Q)
|
100% |
67054
86.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11473
423.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12555
463.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9845
364.7 IPS |
|
|
Text Classification (SP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1676
2.24 KIPS |
|
|
Text Classification (Q)
|
93% |
1317
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1879
32.5 IPS |
