iPhone18,4
Geekbench AI Score
5001
Single Precision Score
8212
Half Precision Score
6516
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
3762
699.6 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3419
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10457
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18579
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15769
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (HP)
|
97% |
4025
320.4 IPS |
|
|
Object Detection (Q)
|
94% |
2740
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
8071
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
4322
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13988
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10035
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24242
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36744
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30458
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5362
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6952
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4858
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6473
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6408
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4671
80.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8781
151.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9163
158.3 IPS |
