iPhone17,2
Geekbench AI Score
4610
Single Precision Score
7821
Half Precision Score
6272
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 07:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.9 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9452
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18874
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16059
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7634
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4289
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8032
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14429
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10064
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24600
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37969
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31184
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6987
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5871
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5976
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7055
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7022
121.4 IPS |
