iPad13,18
Geekbench AI Score
2769
Single Precision Score
12574
Half Precision Score
12455
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 06:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
4300
799.7 IPS |
|
|
Image Classification (Q)
|
96% |
4719
881.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8108
131.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8418
136.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5619
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
60837
71.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
60205
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
99% |
5843
464.8 IPS |
|
|
Object Detection (Q)
|
91% |
4926
393.6 IPS |
|
|
Face Detection (SP)
|
100% |
2473
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
14869
176.7 IPS |
|
|
Face Detection (Q)
|
100% |
11985
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5066
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38909
299.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
38396
300.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14599
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96274
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
93666
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3236
119.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18607
687.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18689
690.1 IPS |
|
|
Text Classification (SP)
|
100% |
2075
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2262
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3359
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4185
72.3 IPS |
