iPhone18,4
Geekbench AI Score
4967
Single Precision Score
34946
Half Precision Score
48585
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | September 19 2025 12:42 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2311
429.8 IPS |
|
|
Image Classification (HP)
|
100% |
14653
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
20883
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19674
318.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25027
405.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9927
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152841
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
297497
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
17394
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24333
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
40608
482.5 IPS |
|
|
Face Detection (Q)
|
100% |
54435
646.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8208
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103163
794.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
165230
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24023
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258544
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350783
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5189
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54169
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83339
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6459
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6379
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5057
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9354
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11550
199.6 IPS |
