iPhone18,4
Geekbench AI Score
5022
Single Precision Score
35246
Half Precision Score
48530
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 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
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
14653
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
20560
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19955
323.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25254
409.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9905
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153077
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
286768
336.1 IPS |
|
|
Object Detection (SP)
|
100% |
2510
199.1 IPS |
|
|
Object Detection (HP)
|
100% |
17418
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25010
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
41081
488.1 IPS |
|
|
Face Detection (Q)
|
100% |
53052
630.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101628
783.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168980
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23381
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
252038
324.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351453
453.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5417
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54971
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82366
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6324
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5342
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10289
177.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11858
204.9 IPS |
