iPhone17,1
Geekbench AI Score
4389
Single Precision Score
7616
Half Precision Score
6044
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | September 20 2024 02:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.3 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3260
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8344
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
17246
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14725
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2015
159.8 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2609
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7235
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4005
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7394
57.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13623
105.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9614
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23187
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36587
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29770
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5372
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6900
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4871
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6015
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5895
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6976
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6969
120.4 IPS |
