iPhone17,2
Geekbench AI Score
4404
Single Precision Score
7555
Half Precision Score
6007
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.2 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8458
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
17323
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14793
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2611
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7348
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4128
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7465
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13821
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9389
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23046
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35741
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29493
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5370
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6770
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4799
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6690
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6448
111.4 IPS |
