iPhone18,4
Geekbench AI Score
4865
Single Precision Score
34321
Half Precision Score
47448
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 14 2025 07:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
15647
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
22534
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19107
309.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24029
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9350
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
147739
172.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
278008
325.8 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
17276
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
22656
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
39379
467.9 IPS |
|
|
Face Detection (Q)
|
100% |
53467
635.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8207
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95577
736.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161647
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23204
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232872
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
316685
408.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55064
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82042
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6493
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6450
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4945
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9486
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11710
202.4 IPS |
