iPhone 16
Geekbench AI Score
4476
Single Precision Score
33592
Half Precision Score
45123
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
14615
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18478
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18065
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23667
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8520
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
148664
173.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294743
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.6 IPS |
|
|
Object Detection (HP)
|
100% |
15642
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21268
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41036
487.6 IPS |
|
|
Face Detection (Q)
|
100% |
51192
608.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7871
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94492
728.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
150061
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
20520
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
243449
313.0 IPS |
|
|
Style Transfer (Q)
|
96% |
294648
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51833
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81380
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6321
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6297
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9637
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11006
190.2 IPS |
