iPhone18,3
Geekbench AI Score
4626
Single Precision Score
35341
Half Precision Score
48606
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 17 2025 09:16 AM |
| Views | 7 |
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% |
2189
407.0 IPS |
|
|
Image Classification (HP)
|
100% |
15752
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22545
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18825
305.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23713
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8464
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
150856
176.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292119
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
17209
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24459
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39761
472.4 IPS |
|
|
Face Detection (Q)
|
100% |
50600
601.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8227
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101793
784.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
156839
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
21722
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246619
317.0 IPS |
|
|
Style Transfer (Q)
|
96% |
346687
447.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54724
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85510
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6590
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6548
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10970
189.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12510
216.2 IPS |
