iPad16,3
Geekbench AI Score
4284
Single Precision Score
6239
Half Precision Score
5251
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | September 11 2024 09:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.19 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1856
345.2 IPS |
|
|
Image Classification (HP)
|
100% |
2539
472.2 IPS |
|
|
Image Classification (Q)
|
96% |
1865
348.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2295
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9223
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18420
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15974
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2212
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5475
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3456
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7481
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
11057
85.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8324
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23625
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35388
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29037
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6852
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4843
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5172
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5189
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4994
86.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5023
86.8 IPS |
