iPhone17,4
Geekbench AI Score
4080
Single Precision Score
7081
Half Precision Score
5629
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1864
346.7 IPS |
|
|
Image Classification (HP)
|
100% |
3178
591.1 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3093
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7656
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
16096
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13596
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
97% |
3515
279.8 IPS |
|
|
Object Detection (Q)
|
94% |
2474
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6502
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3689
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6889
53.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12736
98.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8696
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21229
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34054
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27782
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6569
242.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4584
169.2 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5801
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5844
101.0 IPS |
