iPhone17,1
Geekbench AI Score
4591
Single Precision Score
7831
Half Precision Score
6260
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | November 01 2024 03:34 PM |
| Views | 14 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9185
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18692
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15711
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2137
169.5 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7623
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4264
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7905
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14296
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10003
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24742
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37978
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31216
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6973
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5950
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6053
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3827
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7114
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7073
122.2 IPS |
