iPad 10th Gen iPad13,18
Geekbench AI Score
2695
Single Precision Score
12189
Half Precision Score
12088
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tocophonic |
| Upload Date | November 21 2025 08:54 PM |
| Views | 13 |
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% |
1190
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
4514
839.4 IPS |
|
|
Image Classification (Q)
|
96% |
4525
845.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7680
124.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8113
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5168
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
58917
68.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59378
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (HP)
|
99% |
5892
468.7 IPS |
|
|
Object Detection (Q)
|
91% |
5613
448.5 IPS |
|
|
Face Detection (SP)
|
100% |
2494
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
11435
135.9 IPS |
|
|
Face Detection (Q)
|
100% |
10041
119.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4872
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34478
265.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
34407
268.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13955
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
97988
126.0 IPS |
|
|
Style Transfer (Q)
|
96% |
89720
115.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2861
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17726
654.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17722
654.4 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2407
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4118
71.2 IPS |
