iPhone17,1
Geekbench AI Score
4367
Single Precision Score
7585
Half Precision Score
5983
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | furunos |
| Upload Date | September 29 2024 01:16 PM |
| Views | 12 |
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% |
2018
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2945
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8145
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
16854
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14346
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2017
160.0 IPS |
|
|
Object Detection (HP)
|
97% |
3726
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2585
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7306
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
3970
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7276
56.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13485
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9136
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22529
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34969
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28621
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5183
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6859
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6001
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5999
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7130
123.2 IPS |
