iPad13,18
Geekbench AI Score
2618
Single Precision Score
4558
Half Precision Score
3766
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 18 2025 04:26 PM |
| Views | 4 |
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% |
1206
224.3 IPS |
|
|
Image Classification (HP)
|
100% |
1934
359.7 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2072
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5037
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
10716
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9531
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
97% |
2111
168.1 IPS |
|
|
Object Detection (Q)
|
94% |
1558
124.2 IPS |
|
|
Face Detection (SP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
2557
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4735
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8969
69.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6362
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13058
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22888
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19502
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2825
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3115
115.0 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3680
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3768
65.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3757
64.9 IPS |
