iPhone18,4
Geekbench AI Score
4946
Single Precision Score
34653
Half Precision Score
48356
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 09:27 PM |
| Views | 1 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
14886
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
22189
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19470
315.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24906
403.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9703
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
146724
171.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291820
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
17260
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24390
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
41100
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
52607
625.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8276
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101116
779.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
157742
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
23815
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258392
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
348802
450.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5214
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54456
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80696
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6363
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6316
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9143
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12049
208.2 IPS |
