iPad16,3
Geekbench AI Score
4716
Single Precision Score
36302
Half Precision Score
51109
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | November 22 2024 06:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
17090
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
23863
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21914
355.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30278
490.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123460
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232387
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2239
177.6 IPS |
|
|
Object Detection (HP)
|
100% |
18345
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25706
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4010
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42728
507.7 IPS |
|
|
Face Detection (Q)
|
100% |
62715
745.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8317
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98502
758.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167165
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25192
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234490
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298802
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48730
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82961
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5927
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6046
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3900
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17935
309.9 IPS |
