iPhone18,4
Geekbench AI Score
4854
Single Precision Score
8010
Half Precision Score
6276
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 28 2025 04:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3790
704.9 IPS |
|
|
Image Classification (Q)
|
96% |
2433
454.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9699
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17403
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14852
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
97% |
3981
316.9 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4069
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7868
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4070
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7784
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
12980
100.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8832
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21813
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34445
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29327
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5334
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6671
246.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4871
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6444
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6402
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5026
86.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9238
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8957
154.8 IPS |
