iPhone18,3
Geekbench AI Score
4599
Single Precision Score
35251
Half Precision Score
48265
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 06:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2178
405.0 IPS |
|
|
Image Classification (HP)
|
100% |
15776
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22488
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18978
307.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23833
386.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8554
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
155060
180.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291448
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2518
199.7 IPS |
|
|
Object Detection (HP)
|
100% |
17283
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24498
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3547
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
40113
476.6 IPS |
|
|
Face Detection (Q)
|
100% |
52135
619.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8244
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101978
785.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
164181
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
21937
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
248885
319.9 IPS |
|
|
Style Transfer (Q)
|
96% |
345638
446.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5382
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56993
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85781
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6092
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6006
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4324
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10449
180.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11763
203.3 IPS |
