iPad13,18
Geekbench AI Score
1341
Single Precision Score
8287
Half Precision Score
8381
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.29 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (HP)
|
100% |
3132
582.5 IPS |
|
|
Image Classification (Q)
|
96% |
2899
541.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4652
75.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4949
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2868
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
33815
39.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
33276
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
99% |
3511
279.3 IPS |
|
|
Object Detection (Q)
|
91% |
3298
263.5 IPS |
|
|
Face Detection (SP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
7792
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
7306
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1486
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22018
169.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
26392
206.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7099
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
59901
77.0 IPS |
|
|
Style Transfer (Q)
|
96% |
57274
73.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11398
420.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12009
443.4 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
1995
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4107
71.0 IPS |
