iPad13,18
Geekbench AI Score
2609
Single Precision Score
4538
Half Precision Score
3750
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1216
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.1 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2104
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5078
5.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
10588
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9382
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
97% |
2118
168.6 IPS |
|
|
Object Detection (Q)
|
94% |
1562
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
2576
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4655
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9023
69.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6398
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12906
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22266
28.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18993
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2766
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3120
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3565
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3763
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3757
64.9 IPS |
