iPad16,3
Geekbench AI Score
4708
Single Precision Score
7880
Half Precision Score
6267
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 08:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.38 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
3339
620.9 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3312
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3597
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19073
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16466
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7697
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4453
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8315
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14696
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10167
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25099
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37788
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31318
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4862
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5336
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6842
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6850
118.4 IPS |
