iPhone17,1
Geekbench AI Score
4393
Single Precision Score
7566
Half Precision Score
6030
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | holgr |
| Upload Date | September 21 2024 09:11 PM |
| Views | 3 |
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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
3353
623.6 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3292
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8195
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
17277
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14647
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2078
164.8 IPS |
|
|
Object Detection (HP)
|
97% |
3718
296.0 IPS |
|
|
Object Detection (Q)
|
94% |
2600
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7237
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4091
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7469
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13823
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9641
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22984
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36315
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29239
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6651
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4817
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5847
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5787
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6978
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6960
120.3 IPS |
