iPad13,18
Geekbench AI Score
2629
Single Precision Score
4568
Half Precision Score
3775
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 04:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
1939
360.6 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2112
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5157
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
10822
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9510
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
97% |
2120
168.8 IPS |
|
|
Object Detection (Q)
|
94% |
1562
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
4388
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
2584
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4730
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9039
69.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6446
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13092
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22632
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19158
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3125
115.4 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3614
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3834
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3801
65.7 IPS |
