iPhone18,4
Geekbench AI Score
4790
Single Precision Score
34639
Half Precision Score
47325
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
14865
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
21520
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19446
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25371
411.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9080
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
142620
166.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
268910
315.2 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.6 IPS |
|
|
Object Detection (HP)
|
100% |
17184
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
23952
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
40899
486.0 IPS |
|
|
Face Detection (Q)
|
100% |
53538
636.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8024
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99774
768.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160002
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22631
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258688
332.5 IPS |
|
|
Style Transfer (Q)
|
96% |
316154
408.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5199
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55028
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81129
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6459
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6178
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4930
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9358
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11806
204.0 IPS |
