iPad13,18
Geekbench AI Score
2556
Single Precision Score
4438
Half Precision Score
3691
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 01:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1184
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2044
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4855
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
10225
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9116
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1250
99.2 IPS |
|
|
Object Detection (HP)
|
97% |
2083
165.8 IPS |
|
|
Object Detection (Q)
|
94% |
1535
122.3 IPS |
|
|
Face Detection (SP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (Q)
|
100% |
2490
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4530
34.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8627
66.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6309
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12558
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21198
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18547
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2751
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3108
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3551
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2100
36.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3705
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3737
64.6 IPS |
