iPhone17,2
Geekbench AI Score
4467
Single Precision Score
7668
Half Precision Score
6167
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 04:05 PM |
| Views | 1 |
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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.0 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9071
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18435
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15679
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2094
166.1 IPS |
|
|
Object Detection (HP)
|
97% |
3609
287.3 IPS |
|
|
Object Detection (Q)
|
94% |
2512
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
3341
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
7273
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4186
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7720
59.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14125
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9826
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23887
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35804
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30649
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5604
206.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6936
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4944
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6014
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6014
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7015
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7031
121.5 IPS |
