iPhone18,4
Geekbench AI Score
4996
Single Precision Score
8178
Half Precision Score
6473
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 03:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| 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 | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.9 IPS |
|
|
Image Classification (Q)
|
96% |
2461
459.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3042
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3418
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10216
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18000
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15749
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2510
199.1 IPS |
|
|
Object Detection (HP)
|
97% |
4021
320.1 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7979
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
4226
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8377
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14036
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9912
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24223
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36777
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30248
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5352
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6795
250.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4799
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6496
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6450
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9070
156.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9049
156.4 IPS |
