iPhone18,2
Geekbench AI Score
5123
Single Precision Score
35906
Half Precision Score
49072
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 09:54 PM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2350
437.0 IPS |
|
|
Image Classification (HP)
|
100% |
16166
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22699
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19811
321.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26042
422.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10244
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154407
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
281496
329.9 IPS |
|
|
Object Detection (SP)
|
100% |
2602
206.4 IPS |
|
|
Object Detection (HP)
|
100% |
17400
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25066
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
40726
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
52439
623.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105836
815.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
165595
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24783
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258481
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352416
454.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5668
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55864
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85123
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6025
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5994
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11039
190.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12435
214.9 IPS |
