iPhone17,5
Geekbench AI Score
3993
Single Precision Score
6870
Half Precision Score
5466
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | May 17 2025 02:09 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
3238
602.1 IPS |
|
|
Image Classification (Q)
|
96% |
2195
410.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3050
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7514
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15549
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13057
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2079
164.9 IPS |
|
|
Object Detection (HP)
|
97% |
3485
277.5 IPS |
|
|
Object Detection (Q)
|
94% |
2382
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5841
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3450
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6913
53.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
11964
92.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8344
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15797
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32798
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26586
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6700
247.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4566
168.6 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5943
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5367
92.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5394
93.2 IPS |
