iPhone17,1
Geekbench AI Score
4419
Single Precision Score
7603
Half Precision Score
6071
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | spipeslee |
| Upload Date | September 21 2024 11:01 PM |
| Views | 10 |
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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3371
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2262
422.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8276
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
17117
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14877
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2061
163.5 IPS |
|
|
Object Detection (HP)
|
97% |
3709
295.3 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
7352
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4102
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7395
57.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13866
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9636
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23170
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35755
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30072
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5401
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6886
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4776
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5945
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5853
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7022
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7098
122.7 IPS |
