iPad13,18
Geekbench AI Score
2675
Single Precision Score
4489
Half Precision Score
3781
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | KEN1959 |
| Upload Date | October 21 2024 08:38 PM |
| Views | 10 |
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% |
1189
221.2 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.3 IPS |
|
|
Image Classification (Q)
|
96% |
1356
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2161
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5411
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
11000
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9752
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.9 IPS |
|
|
Object Detection (HP)
|
97% |
2128
169.4 IPS |
|
|
Object Detection (Q)
|
94% |
1555
124.0 IPS |
|
|
Face Detection (SP)
|
100% |
2394
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4481
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2632
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4922
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9641
74.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6663
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13628
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22636
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19328
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2925
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4008
148.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3044
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3716
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3058
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3511
60.7 IPS |
