iPad13,18
Geekbench AI Score
2601
Single Precision Score
4405
Half Precision Score
3688
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
1899
353.2 IPS |
|
|
Image Classification (Q)
|
96% |
1361
254.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2133
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4916
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
10118
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9166
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
97% |
2117
168.5 IPS |
|
|
Object Detection (Q)
|
94% |
1537
122.5 IPS |
|
|
Face Detection (SP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (Q)
|
100% |
2546
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4710
36.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9397
72.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6538
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12848
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21193
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18386
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2789
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2995
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
2083
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3513
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3146
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3536
61.1 IPS |
