iPad14,11
Geekbench AI Score
5683
Single Precision Score
5721
Half Precision Score
1923
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | macprime |
| Upload Date | October 28 2024 06:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,11 |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2833
526.9 IPS |
|
|
Image Classification (HP)
|
100% |
2849
529.9 IPS |
|
|
Image Classification (Q)
|
97% |
2304
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3812
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4542
73.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4496
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21900
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
23383
27.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
21584
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
2818
223.5 IPS |
|
|
Object Detection (Q)
|
92% |
2455
195.9 IPS |
|
|
Face Detection (SP)
|
100% |
9331
110.9 IPS |
|
|
Face Detection (HP)
|
100% |
10547
125.3 IPS |
|
|
Face Detection (Q)
|
100% |
7261
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15078
116.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15589
120.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37363
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43317
55.7 IPS |
|
|
Style Transfer (Q)
|
96% |
40683
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7930
292.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8501
313.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6366
235.1 IPS |
|
|
Text Classification (SP)
|
100% |
1183
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
93% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
849
14.7 IPS |
