iPhone17,4
Geekbench AI Score
4211
Single Precision Score
7303
Half Precision Score
5844
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 11:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,4 |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1887
351.0 IPS |
|
|
Image Classification (HP)
|
100% |
3187
592.8 IPS |
|
|
Image Classification (Q)
|
96% |
2185
408.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3237
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8281
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
17262
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14793
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2035
161.4 IPS |
|
|
Object Detection (HP)
|
97% |
3643
290.0 IPS |
|
|
Object Detection (Q)
|
94% |
2537
202.2 IPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6765
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3884
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7336
56.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13637
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9442
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22239
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35407
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29471
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6758
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4794
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5957
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6037
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5784
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5601
96.8 IPS |
