iPhone 16 Pro iPhone17,1
Geekbench AI Score
4593
Single Precision Score
7845
Half Precision Score
6267
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Auhim |
| Upload Date | September 21 2024 09:19 AM |
| Views | 7 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.6 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3389
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9261
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18851
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16192
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
97% |
3859
307.2 IPS |
|
|
Object Detection (Q)
|
94% |
2685
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
7637
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7962
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14291
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10091
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24793
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37873
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31180
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5575
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5814
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3803
65.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7180
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7156
123.7 IPS |
