iPhone18,4
Geekbench AI Score
4929
Single Precision Score
35328
Half Precision Score
48196
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | edwardhchan |
| Upload Date | November 03 2025 06:17 AM |
| Views | 15 |
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% |
2335
434.2 IPS |
|
|
Image Classification (HP)
|
100% |
15617
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
21502
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19364
313.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24619
399.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9460
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
150316
175.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
279898
328.1 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
17210
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24643
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
41114
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
49528
588.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8253
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101154
779.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161410
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23884
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
253190
325.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351741
453.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58074
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82755
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6605
8.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6687
8.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9584
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11903
205.7 IPS |
