iPhone17,2
Geekbench AI Score
4516
Single Precision Score
7672
Half Precision Score
6162
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:27 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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3283
610.6 IPS |
|
|
Image Classification (Q)
|
96% |
2262
422.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8879
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18053
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15388
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7446
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4197
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7687
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13913
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9691
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23791
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36955
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30665
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5616
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6999
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6986
120.7 IPS |
