iPhone17,1
Geekbench AI Score
4470
Single Precision Score
7689
Half Precision Score
6116
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SandroWeb |
| Upload Date | October 18 2024 05:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
2000
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (Q)
|
96% |
2247
419.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8418
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17442
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15052
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2100
166.5 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7488
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4155
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7551
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13878
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9599
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23591
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37035
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30205
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4883
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5855
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3846
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7176
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7080
122.3 IPS |
