iPhone17,2
Geekbench AI Score
4439
Single Precision Score
7663
Half Precision Score
6121
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Mastoras |
| Upload Date | October 04 2024 02:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.5 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8536
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17632
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14918
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7408
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4128
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7523
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13947
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9649
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23479
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36744
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30383
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5829
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5797
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7052
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6935
119.8 IPS |
