iPhone18,2
Geekbench AI Score
5118
Single Precision Score
36283
Half Precision Score
49675
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 02 2025 08:06 PM |
| 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% |
2335
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
16179
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21984
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20291
328.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25909
420.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9949
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154282
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
282108
330.6 IPS |
|
|
Object Detection (SP)
|
100% |
2617
207.6 IPS |
|
|
Object Detection (HP)
|
100% |
17342
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25511
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
40968
486.8 IPS |
|
|
Face Detection (Q)
|
100% |
54700
650.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8328
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104957
808.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164196
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24439
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258240
332.0 IPS |
|
|
Style Transfer (Q)
|
96% |
352268
454.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5441
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56960
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86378
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6447
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6495
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11042
190.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12574
217.3 IPS |
