iPad16,5
Geekbench AI Score
4693
Single Precision Score
7843
Half Precision Score
6295
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Psycleracer |
| Upload Date | November 06 2024 08:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.9 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3322
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3638
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19037
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16429
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.8 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7704
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4469
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14599
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10163
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25052
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37888
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31269
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6835
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6801
117.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6842
118.2 IPS |
