iPhone18,4
Geekbench AI Score
8174
Single Precision Score
13125
Half Precision Score
15040
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 02:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3895
724.3 IPS |
|
|
Image Classification (HP)
|
100% |
7319
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6840
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5328
86.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8766
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9277
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17962
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
45491
53.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
41176
48.3 IPS |
|
|
Object Detection (SP)
|
100% |
3907
309.9 IPS |
|
|
Object Detection (HP)
|
100% |
7511
595.8 IPS |
|
|
Object Detection (Q)
|
93% |
6969
555.9 IPS |
|
|
Face Detection (SP)
|
100% |
10726
127.4 IPS |
|
|
Face Detection (HP)
|
100% |
21591
256.6 IPS |
|
|
Face Detection (Q)
|
100% |
16159
192.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15810
121.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33045
254.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
34334
268.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38289
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
79919
102.7 IPS |
|
|
Style Transfer (Q)
|
96% |
101779
131.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9113
336.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17584
649.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20095
742.0 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6478
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6591
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4362
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4349
75.2 IPS |
