iPad16,3
Geekbench AI Score
4739
Single Precision Score
37191
Half Precision Score
51372
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 08:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
17419
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24229
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22044
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30296
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123940
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233524
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2239
177.6 IPS |
|
|
Object Detection (HP)
|
100% |
18472
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26002
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
42657
506.9 IPS |
|
|
Face Detection (Q)
|
100% |
62863
747.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8360
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98878
761.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167761
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25155
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233217
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297758
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48808
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81915
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
7297
9.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6196
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18023
311.5 IPS |
