iPad13,18
Geekbench AI Score
2699
Single Precision Score
11830
Half Precision Score
12024
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 06:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1189
221.2 IPS |
|
|
Image Classification (HP)
|
100% |
4407
819.5 IPS |
|
|
Image Classification (Q)
|
96% |
4781
892.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7714
125.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8410
136.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5108
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
58827
68.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59184
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
99% |
5480
435.9 IPS |
|
|
Object Detection (Q)
|
91% |
4691
374.8 IPS |
|
|
Face Detection (SP)
|
100% |
2471
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
11570
137.5 IPS |
|
|
Face Detection (Q)
|
100% |
10077
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4897
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35637
274.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
32730
255.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14081
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
95425
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
90100
116.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2892
106.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18630
687.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18768
693.0 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2416
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4200
72.6 IPS |
