iPad13,18
Geekbench AI Score
2262
Single Precision Score
4173
Half Precision Score
3297
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 20 2025 11:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
703
130.7 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (Q)
|
96% |
1106
206.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1644
26.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1911
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3580
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
9372
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
7688
9.01 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.5 IPS |
|
|
Object Detection (HP)
|
97% |
2106
167.7 IPS |
|
|
Object Detection (Q)
|
94% |
1322
105.4 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (Q)
|
100% |
2229
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4505
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9093
70.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3821
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9671
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19766
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18975
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2830
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3130
115.6 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3658
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3652
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3759
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3826
66.1 IPS |
