iPad16,4
Geekbench AI Score
4695
Single Precision Score
7847
Half Precision Score
6275
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 06:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1959
364.4 IPS |
|
|
Image Classification (HP)
|
100% |
3291
612.1 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3669
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19070
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16478
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2207
175.1 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7793
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4504
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8253
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14539
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10152
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24823
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38215
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31151
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6926
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4836
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5359
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6773
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6800
117.5 IPS |
