iPad13,18
Geekbench AI Score
2591
Single Precision Score
4396
Half Precision Score
3701
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.98 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.5 IPS |
|
|
Image Classification (HP)
|
100% |
1886
350.7 IPS |
|
|
Image Classification (Q)
|
96% |
1357
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2151
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4981
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9115
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (HP)
|
97% |
2104
167.5 IPS |
|
|
Object Detection (Q)
|
94% |
1535
122.3 IPS |
|
|
Face Detection (SP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4463
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
2606
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4731
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9454
73.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6629
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12809
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21337
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18542
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2733
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3027
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
2051
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3478
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3040
52.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3505
60.6 IPS |
