iPad16,3
Geekbench AI Score
4702
Single Precision Score
35203
Half Precision Score
49004
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Soniccs |
| Upload Date | October 05 2024 02:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
16664
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
23520
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16360
265.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20666
335.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123338
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231103
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
19116
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
25862
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
42918
510.0 IPS |
|
|
Face Detection (Q)
|
100% |
63230
751.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98596
759.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167130
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25122
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229687
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294956
380.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5878
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48576
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83456
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5811
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18188
314.3 IPS |
