iPhone18,2
Geekbench AI Score
5034
Single Precision Score
36439
Half Precision Score
49865
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
16424
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22894
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19904
322.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25752
417.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9477
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
150937
176.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
275795
323.2 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
17640
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25465
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
40507
481.3 IPS |
|
|
Face Detection (Q)
|
100% |
53654
637.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8341
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104930
808.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
172902
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24240
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
253839
326.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352527
454.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5305
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58453
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86835
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6652
8.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6543
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5288
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11305
194.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12355
213.5 IPS |
