iPhone18,2
Geekbench AI Score
5124
Single Precision Score
36112
Half Precision Score
49510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 15 2025 03:57 PM |
| Views | 5 |
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% |
2344
435.9 IPS |
|
|
Image Classification (HP)
|
100% |
16075
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22205
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20475
331.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25353
411.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10299
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154808
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
285539
334.7 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
17294
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25600
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4535
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
40567
482.0 IPS |
|
|
Face Detection (Q)
|
100% |
53982
641.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105135
810.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166812
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24314
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258852
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350673
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5506
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56560
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86383
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
5991
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6443
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5258
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11444
197.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12237
211.5 IPS |
