iPhone18,3
Geekbench AI Score
4501
Single Precision Score
35614
Half Precision Score
48643
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 03:33 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2193
407.9 IPS |
|
|
Image Classification (HP)
|
100% |
15851
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
22113
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19009
308.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24146
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8113
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
148162
172.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
278613
326.6 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
17435
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24578
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
40475
480.9 IPS |
|
|
Face Detection (Q)
|
100% |
51652
613.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8078
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101521
782.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167213
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
20528
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
251172
322.9 IPS |
|
|
Style Transfer (Q)
|
96% |
346285
446.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5040
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57852
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86487
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3615
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6452
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6504
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4118
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10950
188.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12059
208.4 IPS |
