iPhone18,4
Geekbench AI Score
5211
Single Precision Score
35509
Half Precision Score
48570
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | November 08 2025 11:43 PM |
| Views | 3 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
15809
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22673
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19602
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24839
402.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10991
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160762
187.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
299253
350.7 IPS |
|
|
Object Detection (SP)
|
100% |
2731
216.7 IPS |
|
|
Object Detection (HP)
|
100% |
17390
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24625
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
40550
481.8 IPS |
|
|
Face Detection (Q)
|
100% |
51245
608.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8210
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101932
785.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
158478
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24658
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259229
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352642
455.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54883
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83602
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6450
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6419
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9701
167.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11457
198.0 IPS |
