iPad13,18
Geekbench AI Score
2660
Single Precision Score
4481
Half Precision Score
3744
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 07:48 PM |
| 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% |
1193
221.8 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.3 IPS |
|
|
Image Classification (Q)
|
96% |
1357
253.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2165
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5335
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
10916
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9464
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
97% |
2128
169.4 IPS |
|
|
Object Detection (Q)
|
94% |
1551
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4479
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2632
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4908
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9626
74.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6669
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13508
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22618
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19215
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2915
107.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3037
112.1 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (Q)
|
93% |
3495
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2104
36.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3034
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3512
60.7 IPS |
