iPhone17,1
Geekbench AI Score
4514
Single Precision Score
7747
Half Precision Score
6194
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | acuesta |
| Upload Date | October 02 2024 05:27 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.4 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8826
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18344
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15524
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7487
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4180
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7698
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14146
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9810
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23966
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37025
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30565
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5629
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6926
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4954
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6011
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7114
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7117
123.0 IPS |
