iPhone17,1
Geekbench AI Score
5671
Single Precision Score
6698
Half Precision Score
6065
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | September 21 2024 02:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2935
545.8 IPS |
|
|
Image Classification (HP)
|
100% |
2778
516.7 IPS |
|
|
Image Classification (Q)
|
97% |
2626
490.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3443
55.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4396
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4317
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15617
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16227
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15133
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
3094
245.4 IPS |
|
|
Object Detection (HP)
|
100% |
3681
291.9 IPS |
|
|
Object Detection (Q)
|
91% |
2678
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
7626
90.6 IPS |
|
|
Face Detection (HP)
|
100% |
10601
126.0 IPS |
|
|
Face Detection (Q)
|
100% |
7309
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13198
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14936
115.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11507
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32800
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39295
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34944
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8029
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8373
309.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6842
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6029
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5943
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1227
21.2 IPS |
