iPhone17,1
Geekbench AI Score
3862
Single Precision Score
6364
Half Precision Score
5869
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ericswei |
| Upload Date | September 27 2024 09:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.62 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
828
154.0 IPS |
|
|
Image Classification (HP)
|
100% |
814
151.5 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3187
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8045
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16497
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13978
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2022
160.3 IPS |
|
|
Object Detection (HP)
|
97% |
3656
291.0 IPS |
|
|
Object Detection (Q)
|
94% |
2547
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
7141
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
3988
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7121
54.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13252
102.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9352
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21816
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34505
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28469
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6754
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4719
174.3 IPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6060
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6912
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6876
118.8 IPS |
