iPad13,18
Geekbench AI Score
2451
Single Precision Score
2858
Half Precision Score
2541
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | March 30 2025 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1086
202.0 IPS |
|
|
Image Classification (HP)
|
100% |
1059
197.0 IPS |
|
|
Image Classification (Q)
|
97% |
937
174.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1620
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6135
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8448
9.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
7617
8.93 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (Q)
|
91% |
1055
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3813
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
2673
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4881
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5557
42.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4779
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13091
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13652
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12898
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2845
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2961
109.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2432
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3595
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3536
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
650
11.2 IPS |
