iPad13,18
Geekbench AI Score
2703
Single Precision Score
12853
Half Precision Score
12660
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | February 13 2025 09:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
4340
807.2 IPS |
|
|
Image Classification (Q)
|
96% |
4578
854.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8160
132.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8504
137.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5205
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
61296
71.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
60120
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
99% |
5783
460.0 IPS |
|
|
Object Detection (Q)
|
91% |
4950
395.5 IPS |
|
|
Face Detection (SP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
13869
164.8 IPS |
|
|
Face Detection (Q)
|
100% |
12023
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4922
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
38422
296.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
35239
275.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13467
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
95622
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
94011
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2920
107.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17081
630.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18107
668.6 IPS |
|
|
Text Classification (SP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2302
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5502
95.1 IPS |
