iPhone17,4
Geekbench AI Score
4281
Single Precision Score
7377
Half Precision Score
5888
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:36 AM |
| Views | 2 |
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% |
1905
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
3206
596.2 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8666
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17645
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14580
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2044
162.1 IPS |
|
|
Object Detection (HP)
|
97% |
3675
292.5 IPS |
|
|
Object Detection (Q)
|
94% |
2570
204.8 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6791
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3928
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7423
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13750
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9564
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22592
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36404
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29378
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5221
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6760
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4797
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5938
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5985
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5879
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5908
102.1 IPS |
