iPad16,3
Geekbench AI Score
4702
Single Precision Score
35510
Half Precision Score
49628
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TheCluster |
| Upload Date | September 14 2024 04:48 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
18115
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
26477
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16303
264.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20527
332.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123054
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230613
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
18615
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25580
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41508
493.2 IPS |
|
|
Face Detection (Q)
|
100% |
60879
723.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98732
760.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169449
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24993
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232276
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
294823
380.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49257
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84161
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6066
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6125
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16572
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18032
311.6 IPS |
