iPhone18,4
Geekbench AI Score
4737
Single Precision Score
34515
Half Precision Score
47213
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | hawie |
| Upload Date | November 04 2025 12:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| 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 | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
15143
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
22685
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19329
313.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23962
388.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9142
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
142375
166.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
264042
309.5 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
17234
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
23566
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
40504
481.3 IPS |
|
|
Face Detection (Q)
|
100% |
51953
617.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8025
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97726
752.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160649
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21966
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
254086
326.6 IPS |
|
|
Style Transfer (Q)
|
96% |
323661
417.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55154
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79283
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6463
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6251
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5063
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9321
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12155
210.0 IPS |
