iPad16,1
Geekbench AI Score
4213
Single Precision Score
4760
Half Precision Score
4265
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 06:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1015
188.7 IPS |
|
|
Image Classification (HP)
|
100% |
1458
271.1 IPS |
|
|
Image Classification (Q)
|
97% |
1073
200.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3242
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11918
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12573
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11697
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (Q)
|
91% |
1476
117.9 IPS |
|
|
Face Detection (SP)
|
100% |
5152
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
5432
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
5466
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10157
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10636
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9007
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25631
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28669
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27174
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4702
173.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3583
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5592
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1174
20.3 IPS |
