iPad13,18
Geekbench AI Score
2604
Single Precision Score
4691
Half Precision Score
3925
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1192
221.7 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
96% |
1457
272.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2154
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4780
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
10427
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9295
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
97% |
2200
175.1 IPS |
|
|
Object Detection (Q)
|
94% |
1639
130.7 IPS |
|
|
Face Detection (SP)
|
100% |
2426
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4562
54.2 IPS |
|
|
Face Detection (Q)
|
100% |
2659
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4687
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9263
71.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6693
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12625
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21994
28.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19103
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4093
151.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3198
118.1 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4081
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4152
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4066
70.3 IPS |
