iPhone 16
Geekbench AI Score
4437
Single Precision Score
33562
Half Precision Score
44893
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 02:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
14747
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18763
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18110
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23665
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
147378
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
295181
346.0 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (HP)
|
100% |
15559
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21385
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
39687
471.6 IPS |
|
|
Face Detection (Q)
|
100% |
49888
592.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7818
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94617
729.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
148185
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
20089
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244226
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
293338
378.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52936
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80442
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6240
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6232
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9775
168.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10914
188.6 IPS |
