iPhone18,2
Geekbench AI Score
5184
Single Precision Score
36094
Half Precision Score
49239
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | October 17 2025 05:05 AM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
16922
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
22246
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19999
324.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25755
417.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11028
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
160149
186.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297810
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
17758
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25294
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
40071
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
55316
657.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104532
805.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
164087
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24448
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259412
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351185
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5672
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57108
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85094
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5741
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5237
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10946
188.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12124
209.5 IPS |
