iPhone18,4
Geekbench AI Score
4962
Single Precision Score
34901
Half Precision Score
48976
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Fine_HIMEMIYA |
| Upload Date | September 21 2025 12:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
14799
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
23436
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19831
321.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24264
393.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9922
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152910
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
285050
334.1 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
17457
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25085
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
40283
478.6 IPS |
|
|
Face Detection (Q)
|
100% |
56489
671.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8074
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101343
780.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162891
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23704
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
254636
327.3 IPS |
|
|
Style Transfer (Q)
|
96% |
347250
448.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5287
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54615
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80298
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6471
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4798
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9401
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11764
203.3 IPS |
