iPad16,3
Geekbench AI Score
4705
Single Precision Score
36363
Half Precision Score
51619
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
16587
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
24513
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22048
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30618
496.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10083
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123766
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232633
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2206
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
18446
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25903
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3968
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
43140
512.6 IPS |
|
|
Face Detection (Q)
|
100% |
62667
744.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8308
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99295
765.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167750
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25069
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
231989
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297123
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48706
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83354
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6082
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6082
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3889
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16447
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18754
324.1 IPS |
