iPad13,18
Geekbench AI Score
2556
Single Precision Score
4494
Half Precision Score
3732
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | jobieh |
| Upload Date | July 04 2025 06:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1162
216.1 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.1 IPS |
|
|
Image Classification (Q)
|
96% |
1340
250.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2024
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4711
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
9776
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8634
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (HP)
|
97% |
1997
159.0 IPS |
|
|
Object Detection (Q)
|
94% |
1485
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
2410
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (Q)
|
100% |
2615
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4682
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8871
68.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6374
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13183
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22840
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19507
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2871
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4145
153.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3165
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3641
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3613
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4065
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4055
70.1 IPS |
