iPhone17,2
Geekbench AI Score
4425
Single Precision Score
7629
Half Precision Score
6071
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | September 21 2024 11:04 AM |
| Views | 3 |
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% |
1973
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3297
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8364
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
17424
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14876
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2065
163.8 IPS |
|
|
Object Detection (HP)
|
97% |
3724
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2614
208.3 IPS |
|
|
Face Detection (SP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7286
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
4074
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7585
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13797
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9581
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23532
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36608
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30240
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5511
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6836
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4867
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5839
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5801
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7040
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
