iPhone17,2
Geekbench AI Score
4368
Single Precision Score
7553
Half Precision Score
6033
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Diacritical |
| Upload Date | September 22 2024 02:10 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.3 IPS |
|
|
Image Classification (Q)
|
96% |
2257
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8385
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17328
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14735
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2016
159.9 IPS |
|
|
Object Detection (HP)
|
97% |
3711
295.4 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
7218
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4008
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7476
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13511
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9548
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22713
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35845
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29630
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5370
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6803
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4805
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5901
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6955
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6975
120.5 IPS |
