iPad13,18
Geekbench AI Score
2660
Single Precision Score
4497
Half Precision Score
3756
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 06:48 PM |
| 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% |
1208
224.6 IPS |
|
|
Image Classification (HP)
|
100% |
1893
352.0 IPS |
|
|
Image Classification (Q)
|
96% |
1355
253.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2166
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5261
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
10649
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9508
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
97% |
2134
169.9 IPS |
|
|
Object Detection (Q)
|
94% |
1559
124.2 IPS |
|
|
Face Detection (SP)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
4468
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2621
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4859
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9576
74.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6652
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13355
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22373
28.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19201
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2880
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4018
148.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3019
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3630
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3628
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2129
36.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3163
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3509
60.6 IPS |
