iPhone 17e iPhone18,5
Geekbench AI Score
4496
Single Precision Score
35214
Half Precision Score
48382
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 20 2026 05:27 PM |
| Views | 13 |
| Notes | iPhone 17e/8GB RAM/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2193
407.9 IPS |
|
|
Image Classification (HP)
|
100% |
15752
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22154
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18917
306.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24570
398.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8176
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
148449
173.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
299199
350.7 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
17174
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24334
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
39722
472.0 IPS |
|
|
Face Detection (Q)
|
100% |
47258
561.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7959
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101839
784.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162615
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20638
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
251934
323.9 IPS |
|
|
Style Transfer (Q)
|
96% |
347232
448.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5036
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56062
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84903
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6343
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6373
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4217
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10651
183.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12284
212.3 IPS |
