iPad 10 iPad13,18
Geekbench AI Score
2593
Single Precision Score
4705
Half Precision Score
3894
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tricky |
| Upload Date | September 16 2025 02:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1139
211.8 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.5 IPS |
|
|
Image Classification (Q)
|
96% |
1437
268.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2082
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4720
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
10583
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9422
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1175
93.2 IPS |
|
|
Object Detection (HP)
|
97% |
2226
177.2 IPS |
|
|
Object Detection (Q)
|
94% |
1607
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2659
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4702
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9337
72.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6627
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12960
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22525
29.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19083
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2696
99.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4144
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3205
118.3 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2202
37.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4120
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4124
71.3 IPS |
