iPad (10th generation)
Geekbench AI Score
2719
Single Precision Score
4655
Half Precision Score
3842
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 02 2026 12:32 PM |
| Views | 2 |
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% |
1935
359.8 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2125
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5594
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
11495
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10278
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.1 IPS |
|
|
Object Detection (HP)
|
97% |
2122
168.9 IPS |
|
|
Object Detection (Q)
|
94% |
1564
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2397
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4423
52.6 IPS |
|
|
Face Detection (Q)
|
100% |
2623
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4907
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9058
70.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6450
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14182
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24243
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19982
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3052
112.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4192
154.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3141
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
2155
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3697
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3842
66.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3830
66.2 IPS |
