iPad16,4
Geekbench AI Score
8819
Single Precision Score
10570
Half Precision Score
7751
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | owine |
| Upload Date | August 16 2024 01:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4648
864.3 IPS |
|
|
Image Classification (HP)
|
100% |
4846
901.2 IPS |
|
|
Image Classification (Q)
|
99% |
4524
843.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4781
77.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6673
108.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
6597
106.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28067
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
29995
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
27604
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4699
372.7 IPS |
|
|
Object Detection (HP)
|
100% |
5178
410.7 IPS |
|
|
Object Detection (Q)
|
91% |
4150
331.6 IPS |
|
|
Face Detection (SP)
|
100% |
12565
149.3 IPS |
|
|
Face Detection (HP)
|
100% |
16060
190.8 IPS |
|
|
Face Detection (Q)
|
100% |
11471
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20350
156.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22426
172.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
3452
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57285
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67848
87.2 IPS |
|
|
Style Transfer (Q)
|
100% |
67372
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11624
429.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12753
470.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9745
361.0 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5243
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1680
29.0 IPS |
