iPhone18,4
Geekbench AI Score
4982
Single Precision Score
35670
Half Precision Score
49527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | October 20 2025 01:42 AM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2346
436.3 IPS |
|
|
Image Classification (HP)
|
100% |
16192
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22145
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19839
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26055
422.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
148958
173.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
282881
331.6 IPS |
|
|
Object Detection (SP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
17721
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25126
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
40578
482.2 IPS |
|
|
Face Detection (Q)
|
100% |
53536
636.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102643
790.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
173553
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
23812
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
257385
330.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351339
453.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55832
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86897
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6513
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6542
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4690
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10090
173.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11670
201.7 IPS |
