iPhone18,4
Geekbench AI Score
5119
Single Precision Score
8370
Half Precision Score
6646
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 05:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
3729
693.6 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3391
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10570
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19221
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16324
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (HP)
|
97% |
4087
325.4 IPS |
|
|
Object Detection (Q)
|
94% |
2812
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8169
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
4421
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8265
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14184
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10067
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24934
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38442
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31694
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5622
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6935
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5010
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6492
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6468
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5270
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9589
165.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9423
162.8 IPS |
