iPhone18,1
Geekbench AI Score
5142
Single Precision Score
35943
Half Precision Score
48546
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mbuurman |
| Upload Date | September 20 2025 03:18 PM |
| Views | 6 |
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% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
16185
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22191
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20026
324.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24991
405.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9912
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153085
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
276911
324.6 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
17477
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25323
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
40337
479.3 IPS |
|
|
Face Detection (Q)
|
100% |
49229
585.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8467
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105009
809.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160279
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24417
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258052
331.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351592
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5703
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56848
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85655
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
5988
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6288
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5400
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11154
192.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12512
216.2 IPS |
