iPhone17,2
Geekbench AI Score
4460
Single Precision Score
7664
Half Precision Score
6108
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | frsnPWR |
| Upload Date | September 21 2024 06:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
3386
629.7 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3352
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8747
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18130
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15196
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7329
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4098
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7585
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13794
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9706
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23694
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37023
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30413
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5512
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6828
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4884
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5839
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5798
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6984
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6973
120.5 IPS |
