iPhone18,4
Geekbench AI Score
5264
Single Precision Score
35106
Half Precision Score
48450
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 01:01 AM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
14780
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
21453
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19498
316.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25004
405.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11222
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
160488
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298215
349.5 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
100% |
17282
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24282
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
40657
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
53114
631.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8593
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100836
776.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163584
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
25482
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259296
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351658
453.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5775
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55108
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81230
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6439
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6423
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5271
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9433
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11512
198.9 IPS |
