iPad16,4
Geekbench AI Score
8941
Single Precision Score
10570
Half Precision Score
9315
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 12:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4501
837.1 IPS |
|
|
Image Classification (HP)
|
100% |
4852
902.3 IPS |
|
|
Image Classification (Q)
|
97% |
4162
776.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4965
80.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6765
109.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7173
116.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28233
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30121
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28668
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4769
378.3 IPS |
|
|
Object Detection (HP)
|
100% |
5215
413.6 IPS |
|
|
Object Detection (Q)
|
91% |
4431
354.1 IPS |
|
|
Face Detection (SP)
|
100% |
12962
154.0 IPS |
|
|
Face Detection (HP)
|
100% |
16486
195.9 IPS |
|
|
Face Detection (Q)
|
100% |
12016
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20546
158.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22506
173.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19122
149.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58560
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67937
87.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63934
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11777
434.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12722
469.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10301
380.4 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5237
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5183
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1654
28.6 IPS |
