iPhone18,4
Geekbench AI Score
4961
Single Precision Score
35150
Half Precision Score
49205
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | October 20 2025 10:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
14766
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
21550
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19787
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25631
415.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9867
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153183
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
297589
348.8 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
17521
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24754
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4156
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
40429
480.4 IPS |
|
|
Face Detection (Q)
|
100% |
56404
670.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8251
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100663
775.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161919
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24283
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258627
332.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351010
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5376
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55009
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84100
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6728
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6419
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9426
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11817
204.2 IPS |
