iPhone18,4
Geekbench AI Score
4949
Single Precision Score
8286
Half Precision Score
6575
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 15 2025 08:50 AM |
| Views | 7 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
3718
691.4 IPS |
|
|
Image Classification (Q)
|
96% |
2464
460.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3055
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9824
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18576
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15704
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
97% |
4059
323.1 IPS |
|
|
Object Detection (Q)
|
94% |
2796
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
4246
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
8152
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
4266
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13964
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9953
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24287
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37512
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31139
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5466
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6958
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5033
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6478
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6433
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4968
85.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9260
160.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9688
167.4 IPS |
