iPad16,3
Geekbench AI Score
4702
Single Precision Score
36142
Half Precision Score
51010
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TheCluster |
| Upload Date | September 25 2024 04:49 AM |
| Views | 11 |
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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
17350
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24576
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21954
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30199
489.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10036
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123489
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232707
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
18219
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25995
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3985
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
42658
506.9 IPS |
|
|
Face Detection (Q)
|
100% |
62709
745.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99347
765.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167122
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25002
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
231978
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296528
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5876
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48571
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83480
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5719
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16272
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17910
309.5 IPS |
