iPhone18,2
Geekbench AI Score
5126
Single Precision Score
36065
Half Precision Score
49278
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dank1 |
| Upload Date | September 19 2025 08:06 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% |
2342
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
16661
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
22952
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19931
323.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25635
415.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10292
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
158012
184.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
285423
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2621
207.9 IPS |
|
|
Object Detection (HP)
|
100% |
17488
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25326
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4585
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
40476
480.9 IPS |
|
|
Face Detection (Q)
|
100% |
54558
648.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8458
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104921
808.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166564
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24605
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258012
331.7 IPS |
|
|
Style Transfer (Q)
|
96% |
352764
455.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56704
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85840
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5280
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11163
192.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12340
213.3 IPS |
