iPhone17,1
Geekbench AI Score
4521
Single Precision Score
7734
Half Precision Score
6169
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Auroraxe |
| Upload Date | October 20 2024 01:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.2 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8798
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18154
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15335
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.3 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.2 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7475
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4166
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7698
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14051
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9799
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23920
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37410
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30808
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5611
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6883
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4887
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5854
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7074
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7149
123.5 IPS |
