iPad16,3
Geekbench AI Score
8926
Single Precision Score
10566
Half Precision Score
9309
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ncard00 |
| Upload Date | October 17 2024 01:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4513
839.2 IPS |
|
|
Image Classification (HP)
|
100% |
4928
916.4 IPS |
|
|
Image Classification (Q)
|
97% |
4237
790.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4965
80.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6724
109.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7138
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28263
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30053
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28638
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4769
378.3 IPS |
|
|
Object Detection (HP)
|
100% |
5200
412.5 IPS |
|
|
Object Detection (Q)
|
91% |
4412
352.5 IPS |
|
|
Face Detection (SP)
|
100% |
12914
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
16454
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
12001
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20332
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22202
171.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19001
148.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58426
75.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67616
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63769
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11562
426.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12638
466.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10278
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5309
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5269
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2021
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1625
28.1 IPS |
