iPad16,3
Geekbench AI Score
8066
Single Precision Score
9022
Half Precision Score
8231
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 07:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4323
803.9 IPS |
|
|
Image Classification (HP)
|
100% |
4600
855.5 IPS |
|
|
Image Classification (Q)
|
99% |
4181
779.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4867
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6530
105.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
6440
104.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28431
33.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30258
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
27756
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
4616
366.1 IPS |
|
|
Object Detection (HP)
|
100% |
5002
396.8 IPS |
|
|
Object Detection (Q)
|
92% |
3965
316.4 IPS |
|
|
Face Detection (SP)
|
100% |
12316
146.3 IPS |
|
|
Face Detection (HP)
|
100% |
15274
181.5 IPS |
|
|
Face Detection (Q)
|
100% |
11181
132.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20253
156.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22503
173.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
22646
175.1 IPS |
|
|
Style Transfer (SP)
|
100% |
57274
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67606
86.9 IPS |
|
|
Style Transfer (Q)
|
100% |
67214
86.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11580
427.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12547
463.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9926
367.7 IPS |
|
|
Text Classification (SP)
|
100% |
1600
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1315
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2169
37.5 IPS |
