iPhone18,4
Geekbench AI Score
5129
Single Precision Score
35692
Half Precision Score
48124
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:33 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% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
16314
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21008
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19869
322.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24189
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10278
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
158431
184.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
285686
334.8 IPS |
|
|
Object Detection (SP)
|
100% |
2634
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
17273
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24537
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
41221
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
54841
651.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8355
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103410
796.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
158134
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24612
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258616
332.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350056
451.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5663
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54966
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81066
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6367
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5123
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9806
168.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11970
206.8 IPS |
