iPhone 17e iPhone18,5
Geekbench AI Score
7287
Single Precision Score
14803
Half Precision Score
15527
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 20 2026 04:01 PM |
| Views | 8 |
| Notes | iPhone 17e/8GB RAM/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone18,5 |
| Model ID | iPhone18,5 |
| Motherboard | V159AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3396
631.5 IPS |
|
|
Image Classification (HP)
|
100% |
7147
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7352
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4298
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7518
121.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7702
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15076
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
43308
50.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
54730
64.1 IPS |
|
|
Object Detection (SP)
|
100% |
3544
281.1 IPS |
|
|
Object Detection (HP)
|
100% |
7207
571.7 IPS |
|
|
Object Detection (Q)
|
93% |
7472
595.9 IPS |
|
|
Face Detection (SP)
|
100% |
9216
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
19630
233.2 IPS |
|
|
Face Detection (Q)
|
100% |
18420
218.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14137
108.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
30858
237.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
32451
253.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32254
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
71421
91.8 IPS |
|
|
Style Transfer (Q)
|
96% |
92651
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8118
299.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16660
615.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16147
596.2 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
6314
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6326
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4696
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6624
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6220
107.5 IPS |
