iPhone18,2
Geekbench AI Score
5186
Single Precision Score
36117
Half Precision Score
48966
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 10:49 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% |
2366
440.1 IPS |
|
|
Image Classification (HP)
|
100% |
16264
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22492
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19872
322.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25328
410.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10572
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
159055
185.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294923
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
17764
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25949
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
40451
480.6 IPS |
|
|
Face Detection (Q)
|
100% |
52009
618.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103891
800.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162487
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24945
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258857
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351328
453.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5669
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55101
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85071
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6104
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6008
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5328
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11306
194.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11979
207.0 IPS |
