iPhone18,4
Geekbench AI Score
4879
Single Precision Score
35308
Half Precision Score
48555
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 02:21 AM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (HP)
|
100% |
15790
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22591
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19592
317.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25018
405.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9394
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
147429
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
277458
325.2 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
17450
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24599
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
41207
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
52830
627.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8088
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98896
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160950
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23133
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
257610
331.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350601
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5185
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56354
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84164
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4940
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9993
172.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11853
204.8 IPS |
