iPad13,18
Geekbench AI Score
2307
Single Precision Score
3821
Half Precision Score
3204
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.29 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (HP)
|
100% |
909
169.1 IPS |
|
|
Image Classification (Q)
|
96% |
642
119.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1050
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4611
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
10388
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8933
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.0 IPS |
|
|
Object Detection (HP)
|
97% |
2150
171.2 IPS |
|
|
Object Detection (Q)
|
94% |
1559
124.2 IPS |
|
|
Face Detection (SP)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (Q)
|
100% |
2644
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4704
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8656
66.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6549
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12930
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19959
25.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18562
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2795
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3015
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3639
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3512
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2175
37.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3136
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3572
61.7 IPS |
