iPhone17,2
Geekbench AI Score
4474
Single Precision Score
7657
Half Precision Score
6127
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 08:52 PM |
| Views | 2 |
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% |
1962
364.9 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.0 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9162
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18190
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15686
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2129
168.9 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7277
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4209
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7604
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13932
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9680
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23820
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37073
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30150
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6817
251.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4872
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5824
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5764
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3695
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6918
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6892
119.1 IPS |
