iPad16,3
Geekbench AI Score
4732
Single Precision Score
36154
Half Precision Score
51532
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 02:21 PM |
| Views | 1 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
16658
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
24680
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22106
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30494
494.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10112
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123676
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233930
274.2 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
18085
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25933
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
42869
509.4 IPS |
|
|
Face Detection (Q)
|
100% |
62729
745.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98722
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168046
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25088
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229295
294.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298445
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5890
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48343
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83478
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6020
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6178
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16405
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17829
308.1 IPS |
