iPhone17,3
Geekbench AI Score
4212
Single Precision Score
7271
Half Precision Score
5794
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1944
361.5 IPS |
|
|
Image Classification (HP)
|
100% |
3173
590.0 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8171
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
16961
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14109
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
97% |
3644
290.1 IPS |
|
|
Object Detection (Q)
|
94% |
2564
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7202
55.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13071
101.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9032
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21607
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35035
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28653
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6745
249.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4735
174.8 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5954
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5934
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5913
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5879
101.6 IPS |
