iPhone17,2
Geekbench AI Score
4537
Single Precision Score
7731
Half Precision Score
6202
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 04:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.3 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9100
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18194
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15656
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7512
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4239
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7776
59.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14163
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9805
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24084
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37609
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30852
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5622
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6913
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4964
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6973
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7032
121.5 IPS |
