iPhone18,2
Geekbench AI Score
5064
Single Precision Score
35755
Half Precision Score
49821
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2316
430.7 IPS |
|
|
Image Classification (HP)
|
100% |
16312
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22263
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19813
321.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26038
422.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9963
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153894
179.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293805
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
100% |
17341
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25470
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4529
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
40910
486.1 IPS |
|
|
Face Detection (Q)
|
100% |
57609
684.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8338
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105015
809.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
173470
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24217
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
257520
331.0 IPS |
|
|
Style Transfer (Q)
|
96% |
350616
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55988
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84608
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5908
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5296
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10680
184.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12402
214.3 IPS |
