iPhone 16 Pro
Geekbench AI Score
4707
Single Precision Score
33452
Half Precision Score
45085
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:39 PM |
| Views | 1 |
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% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
15005
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
19514
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18080
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23509
381.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9213
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
149578
174.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291058
341.1 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
15812
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21195
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3719
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
40081
476.3 IPS |
|
|
Face Detection (Q)
|
100% |
54348
645.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94184
725.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
147378
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
23201
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245518
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
294899
380.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51364
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80340
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6199
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4283
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9395
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10424
180.1 IPS |
