iPad13,18
Geekbench AI Score
2228
Single Precision Score
3513
Half Precision Score
3078
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | October 31 2024 07:35 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.94 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1029
191.4 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (Q)
|
96% |
1053
196.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1296
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4077
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
9379
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8728
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1178
93.5 IPS |
|
|
Object Detection (HP)
|
97% |
1672
133.1 IPS |
|
|
Object Detection (Q)
|
94% |
1317
105.0 IPS |
|
|
Face Detection (SP)
|
100% |
1691
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
2111
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4229
32.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
6970
53.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5046
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11754
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19712
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
17391
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2532
93.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3017
111.4 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3335
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2595
44.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2618
45.2 IPS |
