iPad13,18
Geekbench AI Score
2478
Single Precision Score
2851
Half Precision Score
2494
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | F0xMaster |
| Upload Date | October 10 2024 02:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1113
207.0 IPS |
|
|
Image Classification (HP)
|
100% |
1084
201.6 IPS |
|
|
Image Classification (Q)
|
97% |
933
174.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1581
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6137
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8368
9.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
7343
8.61 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (Q)
|
91% |
1022
81.7 IPS |
|
|
Face Detection (SP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (Q)
|
100% |
2684
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4865
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5555
42.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4514
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13207
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13647
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12841
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2989
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2431
89.7 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (Q)
|
93% |
3535
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
631
10.9 IPS |
