iPad13,18
Geekbench AI Score
2576
Single Precision Score
4356
Half Precision Score
3593
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 02:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1198
222.8 IPS |
|
|
Image Classification (HP)
|
100% |
1893
352.1 IPS |
|
|
Image Classification (Q)
|
96% |
1356
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2086
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4937
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
10140
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9052
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
97% |
2106
167.7 IPS |
|
|
Object Detection (Q)
|
94% |
1536
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2542
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4714
36.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9367
72.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6517
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12846
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18571
23.9 IPS |
|
|
Style Transfer (Q)
|
96% |
14679
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3969
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2939
108.5 IPS |
|
|
Text Classification (SP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3661
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3689
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3178
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3467
59.9 IPS |
