iPad13,18
Geekbench AI Score
2723
Single Precision Score
13337
Half Precision Score
13526
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 06:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1200
223.1 IPS |
|
|
Image Classification (HP)
|
100% |
4829
898.1 IPS |
|
|
Image Classification (Q)
|
96% |
4736
884.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8474
137.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9025
146.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5350
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
61986
72.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
62467
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (HP)
|
99% |
6344
504.6 IPS |
|
|
Object Detection (Q)
|
91% |
5831
466.0 IPS |
|
|
Face Detection (SP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
14776
175.6 IPS |
|
|
Face Detection (Q)
|
100% |
12528
148.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4990
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40648
313.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
43382
339.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13895
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
107232
137.8 IPS |
|
|
Style Transfer (Q)
|
96% |
105423
136.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20036
739.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21509
794.2 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2416
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4425
76.5 IPS |
