iPhone17,1
Geekbench AI Score
4390
Single Precision Score
7540
Half Precision Score
6031
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jwchess |
| Upload Date | September 23 2024 07:27 PM |
| Views | 3 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1983
368.8 IPS |
|
|
Image Classification (HP)
|
100% |
3246
603.6 IPS |
|
|
Image Classification (Q)
|
96% |
2247
419.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3305
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8457
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
17677
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14671
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2056
163.1 IPS |
|
|
Object Detection (HP)
|
97% |
3705
294.9 IPS |
|
|
Object Detection (Q)
|
94% |
2585
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
3438
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
7203
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
4041
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7424
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13506
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9446
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23024
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36357
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29936
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5398
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6800
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5865
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5979
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6848
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6898
119.2 IPS |
