iPhone17,1
Geekbench AI Score
4427
Single Precision Score
7625
Half Precision Score
6087
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jfreshh330 |
| Upload Date | November 23 2024 09:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.7 IPS |
|
|
Image Classification (Q)
|
96% |
2255
421.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8384
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17179
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14598
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2079
164.9 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7414
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4078
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7404
57.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13556
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9549
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23237
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36359
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30080
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5378
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6839
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4861
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6015
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5972
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3798
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6967
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7043
121.7 IPS |
