iPhone18,4
Geekbench AI Score
5008
Single Precision Score
8135
Half Precision Score
6451
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:14 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (HP)
|
100% |
3721
692.1 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3407
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10011
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17716
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15492
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
97% |
3957
315.0 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4229
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
8041
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
4132
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8270
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13709
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9708
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22947
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36963
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30220
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6826
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4921
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6407
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6355
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5203
89.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9125
157.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9267
160.1 IPS |
