iPad13,17
Geekbench AI Score
3179
Single Precision Score
5318
Half Precision Score
4402
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 10:52 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (Q)
|
96% |
1537
287.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2534
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6497
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14259
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12224
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
97% |
2375
189.0 IPS |
|
|
Object Detection (Q)
|
94% |
1756
140.0 IPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5408
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3147
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5646
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10306
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7301
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16963
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26893
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22339
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4588
169.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4572
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4566
78.9 IPS |
