iPhone17,3
Geekbench AI Score
4382
Single Precision Score
7508
Half Precision Score
5990
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 07:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1919
356.8 IPS |
|
|
Image Classification (HP)
|
100% |
3207
596.5 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3266
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8952
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18303
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15464
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2102
166.7 IPS |
|
|
Object Detection (HP)
|
97% |
3723
296.4 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4070
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7780
59.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14106
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9876
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23492
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37542
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30528
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5450
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6849
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6120
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5906
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5867
101.4 IPS |
