iPhone18,1
Geekbench AI Score
5127
Single Precision Score
36051
Half Precision Score
49122
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2351
437.3 IPS |
|
|
Image Classification (HP)
|
100% |
16478
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21947
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20054
325.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26290
426.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10615
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159349
185.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
294320
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
17428
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25056
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4681
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
40952
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
54258
644.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8387
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104637
806.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167651
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24416
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259174
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352426
454.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5409
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56366
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84906
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5925
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5752
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5263
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10895
187.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12281
212.2 IPS |
