iPhone18,4
Geekbench AI Score
7026
Single Precision Score
14757
Half Precision Score
13737
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 28 2025 04:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3964
737.2 IPS |
|
|
Image Classification (HP)
|
100% |
7419
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6875
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5352
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8867
143.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9259
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15437
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
45606
53.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
52868
62.0 IPS |
|
|
Object Detection (SP)
|
100% |
3243
257.3 IPS |
|
|
Object Detection (HP)
|
100% |
7556
599.3 IPS |
|
|
Object Detection (Q)
|
93% |
7173
572.3 IPS |
|
|
Face Detection (SP)
|
100% |
10936
129.9 IPS |
|
|
Face Detection (HP)
|
100% |
20409
242.5 IPS |
|
|
Face Detection (Q)
|
100% |
15879
188.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13686
105.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
31688
244.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
35413
276.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33135
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67178
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
81066
104.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7572
279.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17777
656.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19447
718.1 IPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6579
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6443
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4253
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1736
30.0 IPS |
