iPad16,5
Geekbench AI Score
4700
Single Precision Score
36141
Half Precision Score
51018
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MK500 |
| Upload Date | December 01 2024 11:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
16868
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
23749
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21885
354.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30148
488.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10056
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123304
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232292
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
18313
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25258
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3965
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
42700
507.4 IPS |
|
|
Face Detection (Q)
|
100% |
62472
742.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8275
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98338
757.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168355
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25223
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233514
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296319
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48461
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84015
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6126
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16207
279.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17730
306.4 IPS |
