iPad13,18
Geekbench AI Score
2729
Single Precision Score
12668
Half Precision Score
12934
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | March 30 2025 08:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1183
220.0 IPS |
|
|
Image Classification (HP)
|
100% |
4352
809.3 IPS |
|
|
Image Classification (Q)
|
96% |
4659
870.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8053
130.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8400
136.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5405
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
61642
71.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
60187
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
99% |
5831
463.8 IPS |
|
|
Object Detection (Q)
|
91% |
5043
403.0 IPS |
|
|
Face Detection (SP)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
13977
166.1 IPS |
|
|
Face Detection (Q)
|
100% |
12051
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5016
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34281
264.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
36079
281.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14170
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
94012
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
105196
135.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3066
113.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18340
677.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19350
714.5 IPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4540
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5044
87.2 IPS |
