iPhone18,1
Geekbench AI Score
5119
Single Precision Score
36091
Half Precision Score
48985
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aleo |
| Upload Date | December 21 2025 11:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
16205
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22229
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20248
328.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25309
410.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10357
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
159628
186.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
297959
349.2 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
17410
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25706
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
40810
484.9 IPS |
|
|
Face Detection (Q)
|
100% |
50633
601.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104970
808.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
173750
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24465
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259234
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350658
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56546
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85498
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5982
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5248
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10948
188.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11925
206.1 IPS |
