iPhone17,1
Geekbench AI Score
4491
Single Precision Score
7727
Half Precision Score
6169
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ammonl |
| Upload Date | September 21 2024 07:09 PM |
| Views | 4 |
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% |
1980
368.2 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.4 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2916
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8626
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18061
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15360
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3631
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7469
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4201
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7694
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14223
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9858
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23764
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37216
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30835
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5523
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4867
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5870
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7007
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7072
122.2 IPS |
