iPhone18,4
Geekbench AI Score
5071
Single Precision Score
35138
Half Precision Score
48693
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 25 2025 02:51 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
15105
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
22662
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19764
320.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24959
404.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10402
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
157606
183.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297939
349.2 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
17270
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24258
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4421
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
40695
483.5 IPS |
|
|
Face Detection (Q)
|
100% |
50752
603.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8450
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104288
803.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167934
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24459
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258892
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350983
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5603
206.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55123
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81145
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6438
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6402
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9056
156.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11797
203.9 IPS |
