iPad16,3
Geekbench AI Score
4722
Single Precision Score
36885
Half Precision Score
52415
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 27 2024 03:57 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
17380
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24946
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22056
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30557
495.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123611
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232257
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
18168
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25403
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
42519
505.2 IPS |
|
|
Face Detection (Q)
|
100% |
63596
755.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99075
763.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168649
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25148
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233843
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299223
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50678
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86299
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6435
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6841
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16855
290.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18369
317.4 IPS |
