iPhone 16 Pro
Geekbench AI Score
4505
Single Precision Score
33396
Half Precision Score
45158
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
14668
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
19030
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1854
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18181
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23675
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8682
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146694
171.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290445
340.4 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
16028
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21423
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
40557
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
53521
635.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7953
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94092
724.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
156181
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
20418
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244940
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296370
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5169
190.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52273
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80989
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6124
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6096
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4064
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9200
158.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10286
177.8 IPS |
