iPad16,3
Geekbench AI Score
8826
Single Precision Score
10524
Half Precision Score
7759
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | August 16 2024 06:22 AM |
| Views | 10 |
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, 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% |
4506
837.9 IPS |
|
|
Image Classification (HP)
|
100% |
4866
905.0 IPS |
|
|
Image Classification (Q)
|
99% |
4481
835.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4800
77.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6677
108.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
6639
107.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28261
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30053
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
27611
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4755
377.2 IPS |
|
|
Object Detection (HP)
|
100% |
5202
412.6 IPS |
|
|
Object Detection (Q)
|
91% |
4136
330.5 IPS |
|
|
Face Detection (SP)
|
100% |
12678
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
16211
192.6 IPS |
|
|
Face Detection (Q)
|
100% |
11539
137.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20335
156.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22380
172.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
3450
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56323
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67757
87.1 IPS |
|
|
Style Transfer (Q)
|
100% |
67291
86.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11660
430.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12665
467.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9665
358.1 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5296
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5327
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1689
29.2 IPS |
