iPhone 16 Pro
Geekbench AI Score
3755
Single Precision Score
28060
Half Precision Score
37624
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 05:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
13275
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
17011
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15006
243.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21086
341.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8218
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
112666
131.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
190999
223.9 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
13951
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17420
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
30134
358.1 IPS |
|
|
Face Detection (Q)
|
100% |
40366
479.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6805
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78072
601.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
129542
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
19678
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
175189
225.2 IPS |
|
|
Style Transfer (Q)
|
96% |
217464
280.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4887
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40608
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65636
2.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5398
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5373
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10699
184.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11879
205.3 IPS |
