iPad16,6
Geekbench AI Score
4722
Single Precision Score
7857
Half Precision Score
6307
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SPD298 |
| Upload Date | November 11 2024 07:35 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.7 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3265
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3635
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19062
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16454
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.5 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7758
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4466
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8288
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14617
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10140
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25168
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38168
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31554
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6851
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4870
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3128
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7027
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7002
121.0 IPS |
