iPhone18,2
Geekbench AI Score
5120
Single Precision Score
36198
Half Precision Score
49455
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bb_referee |
| Upload Date | October 14 2025 02:30 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
16159
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22174
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20029
324.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25021
405.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10128
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153386
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
282647
331.3 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
17385
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25327
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4580
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
40669
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
54386
646.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8363
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104796
807.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169143
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24292
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
257081
330.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351755
453.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57746
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86132
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6472
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6427
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5208
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10931
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12304
212.6 IPS |
