iPhone17,2
Geekbench AI Score
3753
Single Precision Score
6956
Half Precision Score
5554
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 14 2024 06:16 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1661
309.0 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.2 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2483
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5139
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
12591
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12795
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
97% |
3498
278.5 IPS |
|
|
Object Detection (Q)
|
94% |
2424
193.2 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6621
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3796
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6592
50.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13114
101.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8876
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21135
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35031
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28500
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5017
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4728
174.6 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5784
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5740
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6844
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6863
118.6 IPS |
