iPad (10th generation)
Geekbench AI Score
2664
Single Precision Score
4604
Half Precision Score
3830
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 11:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad (10th generation) |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1216
226.2 IPS |
|
|
Image Classification (HP)
|
100% |
1950
362.6 IPS |
|
|
Image Classification (Q)
|
96% |
1373
256.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2127
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5149
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
10822
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9637
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (HP)
|
97% |
2135
170.0 IPS |
|
|
Object Detection (Q)
|
94% |
1575
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
2416
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4463
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
2647
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4828
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9090
70.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6458
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13477
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23279
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19744
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2890
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3153
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3695
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3915
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3902
67.4 IPS |
