iPhone18,2
Geekbench AI Score
5080
Single Precision Score
36265
Half Precision Score
49211
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | firecall |
| Upload Date | October 16 2025 01:15 AM |
| Views | 10 |
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% |
2343
435.8 IPS |
|
|
Image Classification (HP)
|
100% |
16227
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22302
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19601
317.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23937
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9358
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153332
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
284200
333.1 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
17430
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25506
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
40862
485.5 IPS |
|
|
Face Detection (Q)
|
100% |
53921
640.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104488
805.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164943
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24211
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258671
332.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351447
453.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57106
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88891
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6587
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6429
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11143
191.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12052
208.3 IPS |
