iPhone18,4
Geekbench AI Score
4983
Single Precision Score
8181
Half Precision Score
6491
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 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% |
3791
704.9 IPS |
|
|
Image Classification (Q)
|
96% |
2499
466.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3367
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9968
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18319
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15258
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3935
313.3 IPS |
|
|
Object Detection (Q)
|
94% |
2734
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
4229
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
8031
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
4147
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8199
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13789
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9782
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23953
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37093
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30333
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5470
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6918
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6460
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6462
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5027
86.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8874
153.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9580
165.6 IPS |
