iPhone 16
Geekbench AI Score
4357
Single Precision Score
33568
Half Precision Score
45177
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
14624
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
19027
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18056
292.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23558
381.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8076
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
147361
171.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
287768
337.3 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
15629
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21394
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3418
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
40459
480.7 IPS |
|
|
Face Detection (Q)
|
100% |
50996
605.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7757
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94537
728.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
154364
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
20105
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
243199
312.6 IPS |
|
|
Style Transfer (Q)
|
96% |
295214
381.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51617
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80672
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6364
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6234
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9777
168.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10982
189.8 IPS |
