iPhone17,1
Geekbench AI Score
4546
Single Precision Score
7791
Half Precision Score
6212
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | VampirSilphy |
| Upload Date | November 22 2024 07:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1990
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.1 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8952
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18459
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15540
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
97% |
3805
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7568
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4258
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7742
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14168
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9821
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24114
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37701
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30784
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5702
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6959
257.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5907
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7160
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7144
123.5 IPS |
