iPad 10th Gen iPad13,18
Geekbench AI Score
2554
Single Precision Score
4648
Half Precision Score
3880
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tocophonic |
| Upload Date | November 21 2025 08:47 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1160
215.8 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (Q)
|
96% |
1439
268.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2098
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4850
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
10659
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9529
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1211
96.1 IPS |
|
|
Object Detection (HP)
|
97% |
2109
167.9 IPS |
|
|
Object Detection (Q)
|
94% |
1590
126.7 IPS |
|
|
Face Detection (SP)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
4371
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2549
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4672
36.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9019
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6576
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12332
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22383
28.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19199
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4191
154.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3166
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4009
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4043
69.9 IPS |
