iPhone17,2
Geekbench AI Score
4516
Single Precision Score
7768
Half Precision Score
6210
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Oosty |
| Upload Date | September 27 2024 05:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8771
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18186
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15476
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.1 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7441
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4189
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7720
59.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14268
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9864
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24132
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37682
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31104
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5671
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6937
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6032
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5982
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7017
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7054
121.9 IPS |
