iPad16,3
Geekbench AI Score
3066
Single Precision Score
19046
Half Precision Score
24876
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | September 11 2024 09:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1603
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
9622
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
11249
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6796
110.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13668
221.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8736
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106578
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
186731
218.9 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.5 IPS |
|
|
Object Detection (HP)
|
100% |
11712
929.0 IPS |
|
|
Object Detection (Q)
|
93% |
14361
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
15671
186.2 IPS |
|
|
Face Detection (Q)
|
100% |
19039
226.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5312
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
62151
478.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
90669
708.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13319
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
159079
204.5 IPS |
|
|
Style Transfer (Q)
|
96% |
172140
222.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4390
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23887
882.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36779
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (HP)
|
71% |
7012
10.1 KIPS |
|
|
Text Classification (Q)
|
69% |
6771
9.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2966
51.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2975
51.4 IPS |
