iPhone18,4
Geekbench AI Score
5200
Single Precision Score
35340
Half Precision Score
47707
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | springkim |
| Upload Date | September 25 2025 10:34 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2374
441.5 IPS |
|
|
Image Classification (HP)
|
100% |
15509
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20314
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19786
320.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25012
405.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10708
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
159910
186.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
295294
346.1 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (HP)
|
100% |
17208
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24319
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
40382
479.8 IPS |
|
|
Face Detection (Q)
|
100% |
49310
585.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8536
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100587
775.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162038
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24677
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
260200
334.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350809
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5718
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54928
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81955
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6432
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6341
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9638
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11491
198.6 IPS |
