iPad16,3
Geekbench AI Score
4712
Single Precision Score
36066
Half Precision Score
49359
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | September 22 2024 08:29 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
17495
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
23828
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16503
267.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20749
336.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10081
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123233
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232717
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
18452
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25599
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
41752
496.1 IPS |
|
|
Face Detection (Q)
|
100% |
60637
720.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98924
762.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168710
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25073
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234124
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298954
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48557
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85584
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
7130
9.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6040
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16944
291.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18436
318.6 IPS |
