iPhone18,2
Geekbench AI Score
5003
Single Precision Score
36413
Half Precision Score
50086
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | GatorTPK |
| Upload Date | October 15 2025 05:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
16449
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22736
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20314
329.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26082
422.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10377
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
152421
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
286310
335.6 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
18262
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25412
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4462
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
40637
482.9 IPS |
|
|
Face Detection (Q)
|
100% |
52114
619.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7961
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104622
806.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
172363
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24436
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
256544
329.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351745
453.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5358
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57079
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87368
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6416
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6675
8.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11032
190.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12497
216.0 IPS |
