iPad13,18
Geekbench AI Score
2662
Single Precision Score
4454
Half Precision Score
3739
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | March 30 2025 08:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1188
220.9 IPS |
|
|
Image Classification (HP)
|
100% |
1885
350.5 IPS |
|
|
Image Classification (Q)
|
96% |
1355
253.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2147
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5480
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
11017
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9847
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
97% |
2120
168.8 IPS |
|
|
Object Detection (Q)
|
94% |
1546
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2357
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4398
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2596
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4952
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9561
73.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6642
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13749
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22558
29.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19280
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2910
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3927
145.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2997
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3535
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2984
51.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3426
59.2 IPS |
