iPhone17,2
Geekbench AI Score
4486
Single Precision Score
7690
Half Precision Score
6141
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 08:49 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% |
2000
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.2 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8725
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18035
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15226
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.3 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7437
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4184
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7636
58.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13908
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9713
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23600
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37121
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30161
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5527
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6849
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4896
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5855
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7019
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7045
121.7 IPS |
