iPhone17,1
Geekbench AI Score
4473
Single Precision Score
7642
Half Precision Score
6148
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | tburg23 |
| Upload Date | September 20 2024 08:27 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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.3 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8522
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
17550
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15193
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2092
165.9 IPS |
|
|
Object Detection (HP)
|
97% |
3747
298.3 IPS |
|
|
Object Detection (Q)
|
94% |
2622
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7371
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4148
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7541
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13793
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9640
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23607
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37374
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30788
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5499
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6867
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4928
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5794
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5896
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7035
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7119
123.0 IPS |
