iPhone18,1
Geekbench AI Score
5129
Single Precision Score
36001
Half Precision Score
48996
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:49 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% |
2343
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
16276
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21812
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19942
323.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25509
413.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10502
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
156534
182.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294630
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2602
206.4 IPS |
|
|
Object Detection (HP)
|
100% |
17466
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25222
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4643
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
40651
483.0 IPS |
|
|
Face Detection (Q)
|
100% |
53797
639.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8478
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105443
812.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
164574
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24454
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259047
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351938
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5598
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56116
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85459
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5993
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5850
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11039
190.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12379
213.9 IPS |
