iPad13,18
Geekbench AI Score
2643
Single Precision Score
4456
Half Precision Score
3731
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | January 01 2025 06:59 PM |
| Views | 5 |
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% |
1185
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
1879
349.4 IPS |
|
|
Image Classification (Q)
|
96% |
1351
252.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2162
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5288
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
10728
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9585
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
97% |
2130
169.6 IPS |
|
|
Object Detection (Q)
|
94% |
1552
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
2384
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
2600
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9583
74.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6623
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13323
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22103
28.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18953
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2897
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3000
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3514
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3127
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3501
60.5 IPS |
