iPhone17,2
Geekbench AI Score
4542
Single Precision Score
7765
Half Precision Score
6221
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | muzzy099 |
| Upload Date | December 02 2024 11:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
96% |
2256
421.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3366
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9019
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18646
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15780
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2178
172.7 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
3598
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7492
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4254
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7876
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14349
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10006
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24356
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37482
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31067
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6956
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5882
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7041
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7035
121.6 IPS |
