iPhone17,5
Geekbench AI Score
4081
Single Precision Score
4475
Half Precision Score
4287
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
862
160.3 IPS |
|
|
Image Classification (HP)
|
100% |
895
166.4 IPS |
|
|
Image Classification (Q)
|
96% |
660
123.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3238
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3380
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3240
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10687
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11904
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11555
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1913
151.7 IPS |
|
|
Object Detection (HP)
|
100% |
1914
151.8 IPS |
|
|
Object Detection (Q)
|
92% |
2084
166.4 IPS |
|
|
Face Detection (SP)
|
100% |
6242
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
7386
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
6033
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9914
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10540
81.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9813
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23989
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26504
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26210
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4530
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3418
126.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4042
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6289
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6196
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1050
18.1 IPS |
