iPhone18,1
Geekbench AI Score
4964
Single Precision Score
35843
Half Precision Score
49171
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | onion83 |
| Upload Date | September 19 2025 06:29 AM |
| Views | 8 |
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% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
16266
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21977
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19501
316.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25111
407.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9589
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
148566
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
275056
322.4 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
17365
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25400
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4420
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
40117
476.7 IPS |
|
|
Face Detection (Q)
|
100% |
52956
629.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104338
803.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
166179
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23530
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
256499
329.7 IPS |
|
|
Style Transfer (Q)
|
96% |
352860
455.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56158
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86328
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6490
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4699
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11068
190.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12318
212.9 IPS |
