iPad13,18
Geekbench AI Score
2661
Single Precision Score
4474
Half Precision Score
3743
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 05:48 AM |
| Views | 2 |
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% |
1907
354.6 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2133
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5221
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
10551
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9384
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
97% |
2141
170.5 IPS |
|
|
Object Detection (Q)
|
94% |
1559
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4503
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2630
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4824
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9591
74.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6645
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13227
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21794
28.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18828
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2861
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3986
147.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3013
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3574
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3148
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3584
61.9 IPS |
