iPhone17,5
Geekbench AI Score
4112
Single Precision Score
4383
Half Precision Score
4292
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
906
168.4 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (Q)
|
96% |
803
149.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3372
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10656
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11891
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11571
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (Q)
|
92% |
1831
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
6436
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
7394
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
6004
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9911
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10433
80.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9831
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23925
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26258
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26029
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3326
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3813
140.8 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6234
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6194
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1054
18.2 IPS |
