iPhone18,4
Geekbench AI Score
5047
Single Precision Score
8324
Half Precision Score
6569
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 06:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
3736
694.8 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3407
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10606
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19009
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16054
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
97% |
4115
327.6 IPS |
|
|
Object Detection (Q)
|
94% |
2764
220.3 IPS |
|
|
Face Detection (SP)
|
100% |
4295
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
8066
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4344
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14162
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9946
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24506
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37609
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31236
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6448
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6412
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9331
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9187
158.8 IPS |
