iPhone17,5
Geekbench AI Score
4256
Single Precision Score
7016
Half Precision Score
5644
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | July 08 2025 09:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
3295
612.8 IPS |
|
|
Image Classification (Q)
|
96% |
2253
420.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3062
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8195
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
16281
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13546
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.4 IPS |
|
|
Object Detection (HP)
|
97% |
3488
277.7 IPS |
|
|
Object Detection (Q)
|
94% |
2437
194.2 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6469
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
3612
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7071
54.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
12649
97.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8611
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18869
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33615
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27403
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6741
248.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4645
171.5 IPS |
|
|
Text Classification (SP)
|
100% |
3641
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
6114
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6050
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5033
87.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6014
103.9 IPS |
