iPad13,18
Geekbench AI Score
2675
Single Precision Score
4488
Half Precision Score
3765
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1207
224.5 IPS |
|
|
Image Classification (HP)
|
100% |
1897
352.8 IPS |
|
|
Image Classification (Q)
|
96% |
1358
253.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2169
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5315
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
10874
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9783
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
2137
170.1 IPS |
|
|
Object Detection (Q)
|
94% |
1557
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (Q)
|
100% |
2672
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4926
38.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9646
74.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6641
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13607
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22720
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19289
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2945
108.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4012
148.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3047
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3482
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3066
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3518
60.8 IPS |
