iPhone18,2
Geekbench AI Score
5069
Single Precision Score
8301
Half Precision Score
6474
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | zedkiel |
| Upload Date | October 31 2025 07:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2307
429.0 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.1 IPS |
|
|
Image Classification (Q)
|
96% |
2474
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3397
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10276
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18380
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15929
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (HP)
|
97% |
4133
329.0 IPS |
|
|
Object Detection (Q)
|
94% |
2787
222.1 IPS |
|
|
Face Detection (SP)
|
100% |
4355
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
8294
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4217
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13895
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9634
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24021
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37459
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30512
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6779
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4896
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6474
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5320
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9679
167.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8952
154.7 IPS |
