iPhone18,1
Geekbench AI Score
5130
Single Precision Score
36002
Half Precision Score
48659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | heyitsadi |
| Upload Date | October 07 2025 02:17 AM |
| Views | 8 |
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% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
16174
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22266
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20255
328.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25119
407.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10052
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152908
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
285181
334.2 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
17534
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25169
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4465
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
40324
479.1 IPS |
|
|
Face Detection (Q)
|
100% |
48348
574.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8421
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105525
813.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164931
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24399
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
257960
331.6 IPS |
|
|
Style Transfer (Q)
|
96% |
355039
458.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5664
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56209
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84833
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6037
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6391
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11182
192.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12077
208.7 IPS |
