iPad16,3
Geekbench AI Score
4690
Single Precision Score
7874
Half Precision Score
6305
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
3344
621.8 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3236
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10055
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19075
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16458
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2709
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7721
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4433
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14641
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10237
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25073
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38143
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31565
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6861
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4825
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5646
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6939
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6956
120.2 IPS |
