iPhone17,1
Geekbench AI Score
4327
Single Precision Score
7535
Half Precision Score
5982
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xevious |
| Upload Date | September 23 2024 05:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.5 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3232
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8015
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
17230
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14096
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
97% |
3660
291.4 IPS |
|
|
Object Detection (Q)
|
94% |
2549
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
7011
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
3962
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7358
56.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13488
104.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9598
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23335
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36037
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29201
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5289
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4792
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5989
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5977
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3759
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7062
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6998
120.9 IPS |
