iPhone18,3
Geekbench AI Score
4570
Single Precision Score
35348
Half Precision Score
48861
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2159
401.5 IPS |
|
|
Image Classification (HP)
|
100% |
16126
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22484
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18773
304.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24073
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8385
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
152345
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
284770
333.8 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
17454
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25241
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
39423
468.4 IPS |
|
|
Face Detection (Q)
|
100% |
49486
588.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8127
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101590
782.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165497
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21909
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
248934
320.0 IPS |
|
|
Style Transfer (Q)
|
96% |
344839
445.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5388
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55499
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86407
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6495
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6573
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4113
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10529
181.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12430
214.8 IPS |
