iPhone18,4
Geekbench AI Score
5185
Single Precision Score
35337
Half Precision Score
49041
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 06 2025 12:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| 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 | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2374
441.6 IPS |
|
|
Image Classification (HP)
|
100% |
14888
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
22978
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19932
323.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25330
410.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10759
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
158514
185.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
298170
349.5 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
17300
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24479
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
41100
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
55186
655.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8473
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101080
778.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160838
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24539
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258746
332.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352477
454.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5662
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56281
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81498
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6495
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6372
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9496
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11660
201.5 IPS |
