iPhone18,1
Geekbench AI Score
5078
Single Precision Score
36465
Half Precision Score
49457
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:20 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
16279
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21449
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20258
328.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25796
418.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153689
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
296573
347.6 IPS |
|
|
Object Detection (SP)
|
100% |
2530
200.7 IPS |
|
|
Object Detection (HP)
|
100% |
17861
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25025
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
40517
481.4 IPS |
|
|
Face Detection (Q)
|
100% |
54847
651.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105822
815.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169329
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24481
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259133
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
349827
451.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58565
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84851
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6510
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6431
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10841
186.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12028
207.9 IPS |
