iPad16,3
Geekbench AI Score
4700
Single Precision Score
35060
Half Precision Score
49959
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 07 2024 03:40 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
17122
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
23600
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16279
263.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20431
331.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122971
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229817
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
100% |
18207
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25525
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3944
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41426
492.2 IPS |
|
|
Face Detection (Q)
|
100% |
60140
714.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8268
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98548
759.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166937
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25110
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230737
296.6 IPS |
|
|
Style Transfer (Q)
|
96% |
295972
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48633
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84960
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6004
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
7530
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16352
281.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18015
311.3 IPS |
