iPad16,5
Geekbench AI Score
4722
Single Precision Score
7875
Half Precision Score
6361
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
3290
611.9 IPS |
|
|
Image Classification (Q)
|
96% |
2304
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3330
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3620
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19029
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16430
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7732
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8304
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14652
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10175
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25059
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37909
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31370
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4836
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6052
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4094
70.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6996
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7078
122.3 IPS |
