iPad16,6
Geekbench AI Score
4695
Single Precision Score
7870
Half Precision Score
6306
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 10 2024 10:33 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1967
365.7 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.8 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3628
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19040
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16474
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7740
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4439
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8287
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14629
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10144
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25272
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38331
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31674
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4861
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5308
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7043
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7022
121.3 IPS |
