iPhone17,1
Geekbench AI Score
4591
Single Precision Score
7841
Half Precision Score
6241
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | October 28 2024 08:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
2265
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3391
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9064
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18576
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15927
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (HP)
|
97% |
3839
305.7 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3714
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7637
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4284
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7906
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14377
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9993
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24540
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37806
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31149
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5676
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6958
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6043
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5799
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3830
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7112
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7096
122.6 IPS |
