iPhone18,4
Geekbench AI Score
6995
Single Precision Score
14884
Half Precision Score
13689
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 04 2025 09:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3880
721.6 IPS |
|
|
Image Classification (HP)
|
100% |
7640
1.42 KIPS |
|
|
Image Classification (Q)
|
97% |
6868
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5349
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8832
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9274
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17788
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48603
56.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
52438
61.5 IPS |
|
|
Object Detection (SP)
|
100% |
3006
238.5 IPS |
|
|
Object Detection (HP)
|
100% |
7443
590.4 IPS |
|
|
Object Detection (Q)
|
93% |
7114
567.6 IPS |
|
|
Face Detection (SP)
|
100% |
10754
127.8 IPS |
|
|
Face Detection (HP)
|
100% |
20134
239.2 IPS |
|
|
Face Detection (Q)
|
100% |
15845
188.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13889
107.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
31528
242.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35352
276.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33855
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
70852
91.1 IPS |
|
|
Style Transfer (Q)
|
96% |
84159
108.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7527
277.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17439
643.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19140
706.8 IPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6379
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4307
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1690
29.2 IPS |
