iPhone17,1
Geekbench AI Score
4409
Single Precision Score
7614
Half Precision Score
6099
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 27 2024 01:01 PM |
| Views | 9 |
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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8241
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
17299
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15030
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3701
294.7 IPS |
|
|
Object Detection (Q)
|
94% |
2616
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7311
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4105
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7481
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13881
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9726
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23328
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36728
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30420
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5383
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6796
250.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4836
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6045
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5939
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6971
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6981
120.6 IPS |
