iPad13,18
Geekbench AI Score
2647
Single Precision Score
4477
Half Precision Score
3752
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 04:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1200
223.1 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.7 IPS |
|
|
Image Classification (Q)
|
96% |
1358
253.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2155
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5178
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
10502
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9406
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.2 IPS |
|
|
Object Detection (HP)
|
97% |
2128
169.4 IPS |
|
|
Object Detection (Q)
|
94% |
1556
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4490
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2646
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4808
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9518
73.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6620
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13178
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22073
28.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19061
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2865
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4160
153.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3032
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3138
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3531
61.0 IPS |
