iPhone18,2
Geekbench AI Score
5089
Single Precision Score
35886
Half Precision Score
49154
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | teotwawk |
| Upload Date | November 03 2025 06:50 AM |
| Views | 10 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (HP)
|
100% |
16604
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22561
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19963
323.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25673
416.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10198
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
157557
183.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
284283
333.2 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
17201
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
25662
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4578
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
40584
482.2 IPS |
|
|
Face Detection (Q)
|
100% |
51684
614.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8394
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104607
805.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164970
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24423
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
257288
330.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351097
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5427
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55329
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88374
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5984
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10903
187.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12567
217.2 IPS |
