iPhone17,5
Geekbench AI Score
4113
Single Precision Score
4501
Half Precision Score
4265
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:30 AM |
| Views | 1 |
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% |
925
171.9 IPS |
|
|
Image Classification (HP)
|
100% |
824
153.2 IPS |
|
|
Image Classification (Q)
|
96% |
760
141.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2898
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3381
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3245
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10629
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11857
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11578
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
1880
149.1 IPS |
|
|
Object Detection (Q)
|
92% |
1804
144.0 IPS |
|
|
Face Detection (SP)
|
100% |
6406
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
7401
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
6004
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9926
76.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10394
80.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9847
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24071
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26403
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26058
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4456
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3783
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6213
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6197
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
926
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1073
18.5 IPS |
