iPhone 16
Geekbench AI Score
4220
Single Precision Score
33080
Half Precision Score
45015
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:06 AM |
| Views | 5 |
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% |
2040
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
14505
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18622
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18125
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23617
382.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7614
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
134937
157.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
290377
340.3 IPS |
|
|
Object Detection (SP)
|
100% |
2232
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
15644
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
22004
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
40300
478.9 IPS |
|
|
Face Detection (Q)
|
100% |
50838
604.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7315
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94113
725.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
151686
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
18703
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
243183
312.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296374
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50443
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79638
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6218
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6198
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9775
168.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10779
186.3 IPS |
