iPad16,3
Geekbench AI Score
4440
Single Precision Score
6345
Half Precision Score
5387
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 01:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.8 IPS |
|
|
Image Classification (Q)
|
96% |
1940
362.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9890
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18791
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16267
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.8 IPS |
|
|
Object Detection (HP)
|
97% |
3032
241.4 IPS |
|
|
Object Detection (Q)
|
94% |
2266
180.7 IPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
5778
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3687
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7615
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
11106
85.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8363
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23986
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35096
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29274
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5804
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6814
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5074
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5237
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5146
88.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5159
89.2 IPS |
