iPad16,4
Geekbench AI Score
4707
Single Precision Score
36693
Half Precision Score
50481
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 06:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
16973
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
24020
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22143
358.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30489
494.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123569
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233491
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
18326
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25594
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42785
508.4 IPS |
|
|
Face Detection (Q)
|
100% |
63175
750.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8320
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98496
758.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167591
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25114
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234548
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299332
386.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5843
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48765
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84372
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6559
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5116
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17953
310.2 IPS |
