iPad13,18
Geekbench AI Score
2589
Single Precision Score
4548
Half Precision Score
3774
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 04:59 PM |
| Views | 3 |
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% |
1193
221.9 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.3 IPS |
|
|
Image Classification (Q)
|
96% |
1361
254.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2101
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5102
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
10861
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9575
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.5 IPS |
|
|
Object Detection (HP)
|
97% |
2107
167.7 IPS |
|
|
Object Detection (Q)
|
94% |
1557
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2352
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
4321
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
2559
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4768
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8907
68.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6360
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12316
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22597
29.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19179
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2751
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4288
158.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3134
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3774
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3684
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3727
64.4 IPS |
