iPhone17,2
Geekbench AI Score
4536
Single Precision Score
32475
Half Precision Score
45021
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | hass |
| Upload Date | September 22 2024 11:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1973
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
15265
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20200
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14696
238.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18354
297.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9031
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154630
180.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292417
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2133
169.2 IPS |
|
|
Object Detection (HP)
|
100% |
16615
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22420
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41099
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
55955
664.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7898
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95702
737.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161412
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24118
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246537
316.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302683
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5767
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50388
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86034
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5234
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9519
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11434
197.6 IPS |
