iPhone18,2
Geekbench AI Score
4689
Single Precision Score
7684
Half Precision Score
5971
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 03:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
3628
674.6 IPS |
|
|
Image Classification (Q)
|
96% |
2313
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8853
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16582
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12125
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.3 IPS |
|
|
Object Detection (HP)
|
97% |
3368
268.1 IPS |
|
|
Object Detection (Q)
|
94% |
2386
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7380
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
3710
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7219
55.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13282
102.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9040
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22408
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30889
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29231
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6941
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6430
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6248
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5228
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9276
160.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9237
159.6 IPS |
