iPhone18,4
Geekbench AI Score
5082
Single Precision Score
35255
Half Precision Score
48581
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 03:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| 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 | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
14879
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
20403
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19796
320.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25584
414.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10626
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159018
185.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298002
349.3 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
17397
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24778
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4421
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
40799
484.8 IPS |
|
|
Face Detection (Q)
|
100% |
52679
625.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8287
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104465
804.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
165243
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24473
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259291
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352350
454.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55307
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80949
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3547
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6470
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6490
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4693
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9208
158.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11791
203.8 IPS |
