iPhone18,1
Geekbench AI Score
5110
Single Precision Score
36333
Half Precision Score
49485
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | November 14 2025 06:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2369
440.6 IPS |
|
|
Image Classification (HP)
|
100% |
16131
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21928
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19969
323.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26106
423.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9786
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153142
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
290120
340.0 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
17646
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25444
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
40966
486.8 IPS |
|
|
Face Detection (Q)
|
100% |
51106
607.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104906
808.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169211
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24578
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258345
332.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351010
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56442
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85502
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6459
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6527
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5197
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11380
196.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12301
212.6 IPS |
