iPad13,18
Geekbench AI Score
2653
Single Precision Score
4508
Half Precision Score
3740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 04:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1200
223.2 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (Q)
|
96% |
1359
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2129
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5163
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
10514
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9363
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
97% |
2128
169.4 IPS |
|
|
Object Detection (Q)
|
94% |
1557
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2422
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
2640
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4823
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9538
73.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6580
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13177
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21144
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18678
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2788
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4123
152.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2989
110.4 IPS |
|
|
Text Classification (SP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3692
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3379
58.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3554
61.4 IPS |
