iPad16,3
Geekbench AI Score
4816
Single Precision Score
36687
Half Precision Score
51417
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:17 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 | 4.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
17365
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24077
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22033
357.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30535
495.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123535
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232720
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
18623
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25311
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3985
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
42167
501.0 IPS |
|
|
Face Detection (Q)
|
100% |
62731
745.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98693
760.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167369
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25032
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233262
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297942
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5943
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49263
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81505
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6454
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6542
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4084
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16260
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17880
309.0 IPS |
