iPad16,5
Geekbench AI Score
4724
Single Precision Score
35324
Half Precision Score
49795
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | lautajo |
| Upload Date | September 20 2024 03:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
17464
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
26561
4.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16524
267.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20817
337.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123426
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232836
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2231
176.9 IPS |
|
|
Object Detection (HP)
|
100% |
18030
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25465
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
42257
502.1 IPS |
|
|
Face Detection (Q)
|
100% |
60448
718.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98818
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169317
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25106
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234736
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299253
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49197
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86885
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5944
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5973
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16437
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17987
310.8 IPS |
