iPhone18,2
Geekbench AI Score
4834
Single Precision Score
36003
Half Precision Score
49154
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 06:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.13 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2297
427.2 IPS |
|
|
Image Classification (HP)
|
100% |
17029
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
21666
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20020
324.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24055
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9273
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
147366
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
274461
321.7 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
17258
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25475
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4059
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
40839
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
58217
691.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7876
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101629
783.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165773
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23046
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
249539
320.8 IPS |
|
|
Style Transfer (Q)
|
96% |
346295
446.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56592
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85086
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6393
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6339
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4707
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11266
194.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12535
216.6 IPS |
