iPhone17,2
Geekbench AI Score
4447
Single Precision Score
7599
Half Precision Score
6075
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ApolloZero |
| Upload Date | November 24 2024 05:55 PM |
| Views | 4 |
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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.2 IPS |
|
|
Image Classification (Q)
|
96% |
2247
419.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2898
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3370
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8642
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17064
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14850
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2063
163.7 IPS |
|
|
Object Detection (HP)
|
97% |
3724
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2643
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7400
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4084
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7465
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13738
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9489
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23344
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36442
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29760
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4907
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6977
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6954
120.2 IPS |
