iPhone18,1
Geekbench AI Score
5172
Single Precision Score
36126
Half Precision Score
48922
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 04:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
16672
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
22780
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20133
326.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25371
411.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10195
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
157574
183.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290503
340.5 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
17275
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25725
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4695
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
40212
477.8 IPS |
|
|
Face Detection (Q)
|
100% |
49994
594.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8545
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104293
803.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162352
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
25183
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258801
332.7 IPS |
|
|
Style Transfer (Q)
|
96% |
350384
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5698
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56817
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85875
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6028
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6011
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5356
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11149
192.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12386
214.0 IPS |
