iPad16,1
Geekbench AI Score
4049
Single Precision Score
24866
Half Precision Score
34919
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 08 2024 08:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1756
326.6 IPS |
|
|
Image Classification (HP)
|
100% |
10995
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
14639
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15963
258.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21124
342.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7872
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
106829
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205817
241.2 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
14022
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19461
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
35179
418.0 IPS |
|
|
Face Detection (Q)
|
100% |
51121
607.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7126
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78293
603.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
128420
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20913
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
207807
267.1 IPS |
|
|
Style Transfer (Q)
|
96% |
254663
328.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4839
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34606
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55920
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3189
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6259
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7301
126.2 IPS |
