iPhone18,1
Geekbench AI Score
4975
Single Precision Score
36458
Half Precision Score
50026
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 04 2025 09:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
16255
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21976
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20008
324.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25233
409.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9560
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152096
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
282530
331.1 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
18076
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25348
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4218
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
41161
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
56013
665.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8343
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104928
808.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169857
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23524
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258453
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350794
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5445
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56284
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89313
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6557
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6631
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5077
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11265
194.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12508
216.2 IPS |
