iPhone18,2
Geekbench AI Score
4941
Single Precision Score
35770
Half Precision Score
49334
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | September 20 2025 10:13 AM |
| Views | 8 |
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% |
2332
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
16149
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22722
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19869
322.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24958
404.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9768
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
147506
172.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
272692
319.6 IPS |
|
|
Object Detection (SP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (HP)
|
100% |
17292
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25680
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
40622
482.7 IPS |
|
|
Face Detection (Q)
|
100% |
57464
682.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8115
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103183
795.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162626
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23702
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
252169
324.2 IPS |
|
|
Style Transfer (Q)
|
96% |
346241
446.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5320
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55730
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84593
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6364
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4699
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11105
191.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12347
213.4 IPS |
