iPhone17,1
Geekbench AI Score
4393
Single Precision Score
7620
Half Precision Score
6048
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | l3uzz |
| Upload Date | October 08 2024 03:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2261
422.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8265
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
17363
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14572
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2042
162.0 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7395
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4093
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7414
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13651
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9433
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23006
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36021
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30022
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5367
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6834
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4758
175.7 IPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5952
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5919
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6992
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7036
121.6 IPS |
