iPhone18,4
Geekbench AI Score
5132
Single Precision Score
35121
Half Precision Score
49258
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jungsungyun |
| Upload Date | October 22 2025 04:59 PM |
| Views | 11 |
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% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
14704
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
22450
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19770
320.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25131
407.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10692
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
158991
185.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
297857
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2615
207.4 IPS |
|
|
Object Detection (HP)
|
100% |
17343
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24975
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4381
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
40542
481.7 IPS |
|
|
Face Detection (Q)
|
100% |
52430
623.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8275
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
102489
789.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167777
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24824
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
256895
330.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350626
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55086
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86232
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6482
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5209
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9348
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11747
203.0 IPS |
