iPhone17,5
Geekbench AI Score
4163
Single Precision Score
33406
Half Precision Score
45431
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 31 2025 03:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
14885
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
19494
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17924
290.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23557
381.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7996
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
141357
164.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292402
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
15778
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21576
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
41012
487.3 IPS |
|
|
Face Detection (Q)
|
100% |
52059
618.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7418
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94163
725.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
154840
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
18532
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244225
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296291
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51167
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80245
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3712
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6227
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6277
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3049
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9680
166.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10747
185.7 IPS |
