iPad13,19
Geekbench AI Score
2648
Single Precision Score
4610
Half Precision Score
3797
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gshaw1967 |
| Upload Date | March 13 2025 01:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad13,19 |
| Model ID | iPad13,19 |
| Motherboard | J272AP |
| 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% |
1213
225.6 IPS |
|
|
Image Classification (HP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2122
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5244
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
10875
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9589
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
2115
168.4 IPS |
|
|
Object Detection (Q)
|
94% |
1564
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4354
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
2598
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4756
36.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8994
69.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6414
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13131
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23038
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19780
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4296
158.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3135
115.8 IPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3631
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3828
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3813
65.9 IPS |
