iPad16,3
Geekbench AI Score
4665
Single Precision Score
31471
Half Precision Score
40713
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | August 16 2024 06:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1861
346.0 IPS |
|
|
Image Classification (HP)
|
100% |
18609
3.46 KIPS |
|
|
Image Classification (Q)
|
99% |
22004
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13850
224.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
14007
227.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10020
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118633
138.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
225995
265.1 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
17442
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
26100
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
26503
314.9 IPS |
|
|
Face Detection (Q)
|
100% |
45460
540.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
82821
638.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
91920
710.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25128
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168271
216.3 IPS |
|
|
Style Transfer (Q)
|
100% |
168445
216.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5871
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50091
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
83570
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5913
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6546
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16340
281.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17875
308.9 IPS |
