iPhone18,4
Geekbench AI Score
4918
Single Precision Score
35019
Half Precision Score
48148
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 11:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2362
439.3 IPS |
|
|
Image Classification (HP)
|
100% |
14862
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
21009
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19463
315.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23453
380.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8298
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
151619
176.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
276492
324.1 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
17309
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24564
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
40854
485.4 IPS |
|
|
Face Detection (Q)
|
100% |
51618
613.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101148
779.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162737
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23742
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
253183
325.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351842
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56453
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88061
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6398
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6488
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5095
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9670
166.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11850
204.8 IPS |
