iPad13,18
Geekbench AI Score
2482
Single Precision Score
4566
Half Precision Score
3781
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jobieh |
| Upload Date | December 19 2025 09:47 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1118
207.9 IPS |
|
|
Image Classification (HP)
|
100% |
1949
362.5 IPS |
|
|
Image Classification (Q)
|
96% |
1412
263.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1843
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
8696
10.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8367
9.81 IPS |
|
|
Object Detection (SP)
|
100% |
1133
89.9 IPS |
|
|
Object Detection (HP)
|
97% |
2139
170.3 IPS |
|
|
Object Detection (Q)
|
94% |
1568
125.0 IPS |
|
|
Face Detection (SP)
|
100% |
2313
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
4439
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
2552
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4479
34.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9114
70.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6532
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12612
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21847
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19151
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2720
100.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3220
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4104
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4187
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4172
72.1 IPS |
