iPhone17,1
Geekbench AI Score
4466
Single Precision Score
7717
Half Precision Score
6131
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MiLo65 |
| Upload Date | September 21 2024 05:40 PM |
| Views | 8 |
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% |
2011
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.7 IPS |
|
|
Image Classification (Q)
|
96% |
2247
419.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8652
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18034
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15242
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2072
164.3 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7387
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4156
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7612
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14045
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9744
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23638
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37329
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30030
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6936
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4889
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7037
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7105
122.8 IPS |
