iPhone17,2
Geekbench AI Score
4312
Single Precision Score
7481
Half Precision Score
5967
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1883
350.2 IPS |
|
|
Image Classification (HP)
|
100% |
3280
610.0 IPS |
|
|
Image Classification (Q)
|
96% |
2236
417.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3219
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8066
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
16750
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14413
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2009
159.4 IPS |
|
|
Object Detection (HP)
|
97% |
3700
294.6 IPS |
|
|
Object Detection (Q)
|
94% |
2580
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3417
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
7199
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
4022
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7301
56.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13371
103.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9429
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22990
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35897
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29490
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6748
249.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4782
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5821
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6879
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6875
118.8 IPS |
