iPad16,3
Geekbench AI Score
4673
Single Precision Score
7842
Half Precision Score
6231
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kddlb |
| Upload Date | November 17 2024 04:54 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.7 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3281
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3557
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9952
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19009
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16347
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2130
168.9 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7747
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4432
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14619
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10158
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25053
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37860
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31266
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5856
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6846
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4844
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5318
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6907
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6862
118.6 IPS |
