iPhone17,2
Geekbench AI Score
4439
Single Precision Score
7661
Half Precision Score
6126
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:19 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.6 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8652
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17687
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15031
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7433
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4137
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7594
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13951
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9608
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23383
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36519
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30090
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5429
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6902
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4932
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5938
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5920
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6917
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7005
121.1 IPS |
