iPhone17,1
Geekbench AI Score
4504
Single Precision Score
7727
Half Precision Score
6155
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 10:54 AM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.8 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3366
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8678
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17907
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15140
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2108
167.2 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7523
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4217
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7654
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14095
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9693
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23781
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37357
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30458
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5891
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3852
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7155
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7050
121.8 IPS |
