iPad16,5
Geekbench AI Score
4708
Single Precision Score
7885
Half Precision Score
6269
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 30 2024 05:14 PM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1970
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
3305
614.7 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3614
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10012
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19058
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16438
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.2 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7743
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4452
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14607
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10156
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25123
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38201
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31556
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6975
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4880
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5234
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6931
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6940
119.9 IPS |
