iPhone17,3
Geekbench AI Score
4348
Single Precision Score
7433
Half Precision Score
5973
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 05:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1949
362.5 IPS |
|
|
Image Classification (HP)
|
100% |
3145
584.9 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8711
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18028
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15300
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2080
164.9 IPS |
|
|
Object Detection (HP)
|
97% |
3720
296.2 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6936
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7544
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13958
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9705
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22919
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36894
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30126
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5393
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6787
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4839
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5993
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5908
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5910
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5918
102.3 IPS |
